In [12]: torch.randint(0, 4, size=(2,3), generator=torch.Generator())
Out[12]:
tensor([[2, 0, 1],
        [0, 1, 3]])

In [13]: torch.randint(0, 4, size=(2,3), generator=None)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-13-a6bc6525a1e1> in <module>
----> 1 torch.randint(0, 4, size=(2,3), generator=None)

TypeError: randint() received an invalid combination of arguments - got (int, int, generator=NoneType, size=tuple), but expected one of:
 * (int high, tuple of ints size, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool requires_grad)
 * (int high, tuple of ints size, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool requires_grad)
 * (int low, int high, tuple of ints size, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool requires_grad)
 * (int low, int high, tuple of ints size, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool requires_grad)

In [9]: torch.bernoulli(torch.ones(3))
Out[9]: tensor([1., 1., 1.])

In [10]: torch.bernoulli(torch.ones(3), generator=None)
Out[10]: tensor([1., 1., 1.])