torch.Tensor.log_normal_
Tensor.log_normal_(mean=1, std=2, *, generator=None)
Fills "self" tensor with numbers samples from the log-normal
   distribution parameterized by the given mean \mu and standard
   deviation \sigma. Note that "mean" and "std" are the mean and
   standard deviation of the underlying normal distribution, and not
   of the returned distribution:
  f(x) = \dfrac{1}{x \sigma \sqrt{2\pi}}\ e^{-\frac{(\ln x -
  \mu)^2}{2\sigma^2}}
