Detection of dead ops breaks when ops return aliased storage

[nunoplopes]

Example:

x = torch.zeros([1,2])
y = torch.ones([2])

w = x.view([2])
w.add_(y)
w = None

print(x)

If we ignore that view returns a tensor whose storage is aliased with x, we would mark view & add_ as dead. But these operations are needed as they change x besides the direct impact on w.

We need a list of ops that alias storage to reenable dead op detection.