torch.Tensor.geometric_

Tensor.geometric_(p, *, generator=None) → Tensor

Fills self tensor with elements drawn from the geometric distribution:

$$P(X=k) = (1 - p)^{k - 1} p, k = 1, 2, ...$$

Note

torch.Tensor.geometric_() k-th trial is the first success hence draws samples in $\{1, 2, \ldots\}$, whereas torch.distributions.geometric.Geometric() $(k+1)$-th trial is the first success hence draws samples in $\{0, 1, \ldots\}$.