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()
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()