docstr: Converts arguments to the right shape and domain. The domain depends on the type of distribution, while the
  correct shape is obtained by reshaping the trailing axis in such a way that the returned tensors define a
  distribution of the right event_shape.
code: def domain_map(self, *args: torch.Tensor):
      r"""
      Converts arguments to the right shape and domain. The domain depends on the type of distribution, while the
      correct shape is obtained by reshaping the trailing axis in such a way that the returned tensors define a
      distribution of the right event_shape.
      """
      raise NotImplementedError()
  
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 8 for calling the DistributionOutput obj's underlying member method code with example usage: obj.domain_map() without return types