>>> import torch
>>> a = torch.ones(10) * 0.5
>>> b = torch.zeros_like(a)
>>> a
tensor([0.5000, 0.5000, 0.5000, 0.5000, 0.5000, 0.5000, 0.5000, 0.5000, 0.5000,
        0.5000])
>>> b
tensor([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
>>> torch.bernoulli(a, out=b)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: bernoulli() received an invalid combination of arguments - got (Tensor, out=Tensor), but expected one of:
 * (Tensor input)
 * (Tensor input, Tensor p, torch.Generator generator)
 * (Tensor input, float p, torch.Generator generator)

>>> b
tensor([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])