torch.Tensor.bernoulli_¶

Tensor.bernoulli_(p=0.5, *, generator=None) → Tensor¶

Fills each location of self with an independent sample from $\text{Bernoulli}(\texttt{p})$. self can have integral dtype.

p should either be a scalar or tensor containing probabilities to be used for drawing the binary random number.

If it is a tensor, the $\text{i}^{th}$ element of self tensor will be set to a value sampled from $\text{Bernoulli}(\texttt{p\_tensor[i]})$. In this case p must have floating point dtype.

See also bernoulli() and torch.bernoulli()