Fix tensor device mismatch in OPT model
# What does this PR do?

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It's a straightforward fix on opt model when using cuda device


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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- [ ] Did you write any new necessary tests?


## Who can review?

@younesbelkada 

_The documentation is not available anymore as the PR was closed or merged._<|||||>Error msg before this PR:
![image](https://user-images.githubusercontent.com/11887940/177463291-8b181f91-7c12-43bf-9628-b604d200eaaf.png)
<|||||>Hi @mzmssg ! thanks for proposing this fix ;) !
I am wondering why the gpu tests are not failing in our case, could you share with us your PyTorch + cudatoolkit version? Sorry fo getting back late on this<|||||>> Hi @mzmssg ! thanks for proposing this fix ;) ! I am wondering why the gpu tests are not failing in our case, could you share with us your PyTorch + cudatoolkit version? Sorry fo getting back late on this

Hi @younesbelkada, I tried pytorch 1.6 and 1.12 on cuda10, 1.12 works fine while 1.6 gives errors. I think that's why it pass the test on your end.

And I found that even on pytorch 1.12 the behavior is a bit strange, it allows max operations on cuda tensor and cpu **scalar** but not on cuda tensor and cpu 1-d tensor. So I think it's better to set the device explicitly, your opinion?

Below are my test:
```
torch==1.6

>>> aa = torch.rand([2, 2]).cuda()
>>> bb = torch.rand([])
>>> torch.max(aa, bb)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: iter.device(arg).is_cuda() INTERNAL ASSERT FAILED at "/pytorch/aten/src/ATen/native/cuda/Loops.cuh":61, please report a bug to PyTorch.
>>> cc = torch.rand([1])
>>> torch.max(aa, cc)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!


torch==1.12

>>> aa = torch.rand([2, 2]).cuda()
>>> bb = torch.rand([])
>>> torch.max(aa, bb)
tensor([[0.9149, 0.9149],
        [0.9149, 0.9149]], device='cuda:0')
>>> cc = torch.rand([1])
>>> torch.max(aa, cc)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
```