code: def rsample(self, sample_shape=torch.Size()):
      return self._sample(self.base_dist.rsample, sample_shape)
  
imports: import warnings
  from collections import OrderedDict
  from typing import Callable
  import torch
  from torch.distributions.kl import kl_divergence, register_kl
  import pyro.distributions.torch
  from .None import constraints
  from .distribution import Distribution
  from .score_parts import ScoreParts
  from .util import broadcast_shape, scale_and_mask
label_desc: Use image node_id 9 for calling the ExpandedDistribution obj's underlying member method code with example usage: obj.rsample(sample_shape) and returns: self