Fills each location of self with an independent sample from Bernoulli ( p ) \text{Bernoulli}(\texttt{p}) Bernoulli(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 i t h \text{i}^{th} ith element of self tensor will be set to a value sampled from Bernoulli ( p_tensor[i] ) \text{Bernoulli}(\texttt{p\_tensor[i]}) Bernoulli(p_tensor[i]). In this case p must have floating point dtype.
See also bernoulli() and torch.bernoulli()
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