code: def _(d, batch_shape):
      init = d._init
      if init.batch_shape:
          init = init.expand(d.batch_shape)
          init = init.reshape(batch_shape)
  
      trans = d._trans
      if len(trans.batch_shape) > 1:
          trans = trans.expand(d.batch_shape + (-1,))
          trans = trans.reshape(batch_shape + (-1,))
  
      obs = d._obs
      if len(obs.batch_shape) > 1:
          obs = obs.expand(d.batch_shape + (-1,))
          obs = obs.reshape(batch_shape + (-1,))
  
      new = d._get_checked_instance(dist.GaussianHMM)
      new.hidden_dim = d.hidden_dim
      new.obs_dim = d.obs_dim
      new._init = init
      new._trans = trans
      new._obs = obs
      super(dist.GaussianHMM, new).__init__(
          d.duration,
          batch_shape,
          d.event_shape,
          validate_args=d._validate_args,
      )
      return new
  
imports: import numbers
  from functools import singledispatch
  import torch
  from torch.distributions import transform_to, transforms
  import pyro.distributions
  from pyro.infer.reparam import DiscreteCosineReparam, HaarReparam
  from pyro.poutine.messenger import Messenger
  from pyro.poutine.util import site_is_subsample
  from pyro.primitives import get_param_store
label_desc: Use image node_id 19 for calling a global function with example usage: _(d, batch_shape) and returns: new