docstr: EXPERIMENTAL.
code: def conjugate_update(self, other):
      """
      EXPERIMENTAL.
      """
      updated, log_normalizer = self.base_dist.conjugate_update(other)
      updated = updated.expand(self.batch_shape)
      log_normalizer = log_normalizer.expand(self.batch_shape)
      return updated, log_normalizer
  
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 15 for calling the ExpandedDistribution obj's underlying member method code with example usage: obj.conjugate_update(other) and returns: updated,  log_normalizer