code: def _(d, batch_shape):
      base_dist = reshape_batch(d.base_dist, batch_shape)
      old_shape = d.base_dist.shape()
      new_shape = base_dist.shape()
      transforms = [
          reshape_transform_batch(t, old_shape, new_shape)
          for t in d.transforms
      ]
      return dist.TransformedDistribution(base_dist, transforms)
  
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 16 for calling a global function with example usage: _(d, batch_shape) and returns: dist