docstr: Returns the variance of the distribution.
code: def variance(self):
      """
      Returns the variance of the distribution.
      """
      return self.base_dist.variance * self.scale**2
  
imports: from typing import Callable, Dict, Optional, Tuple
  import torch
  from torch import nn
  from torch.distributions import AffineTransform, Distribution, Independent, NegativeBinomial, Normal, StudentT, TransformedDistribution
label_desc: Use image node_id 3 for calling the AffineTransformed obj's underlying member method code with example usage: obj.variance() and returns: unknown