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# torch.Tensor.bernoulli

Tensor.bernoulli(*, generator=None) → Tensor

  Returns a result tensor where each result[i]\texttt{result[i]}result[i] is independently sampled from Bernoulli(self[i])\text{Bernoulli}(\texttt{self[i]})Bernoulli(self[i]). `self` must have floating point `dtype`, and the result will have the same `dtype`.

  See `torch.bernoulli()`

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