docstr: Shape of each individual event contemplated by the distributions that this object constructs.
code: def event_shape(self) -> Tuple:
      r"""
      Shape of each individual event contemplated by the distributions that this object constructs.
      """
      return () if self.dim == 1 else (self.dim,)
  
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 4 for calling the DistributionOutput obj's underlying member method code with example usage: obj.event_shape() and returns: unknown