docstr: Maybe return a non-`CompositeTensor` `_TransformedDistribution`.
code: def __new__(cls, *args, **kwargs):
      """Maybe return a non-`CompositeTensor` `_TransformedDistribution`."""
  
      if cls is TransformedDistribution:
          if args:
              distribution = args[0]
          else:
              distribution = kwargs.get("distribution")
          if len(args) > 1:
              bijector = args[1]
          else:
              bijector = kwargs.get("bijector")
  
          if not (
              auto_composite_tensor.is_composite_tensor(distribution)
              and auto_composite_tensor.is_composite_tensor(bijector)
          ):
              return _TransformedDistribution(*args, **kwargs)
      return super(TransformedDistribution, cls).__new__(cls)
  
imports: import functools
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import ldj_ratio
  from tensorflow_probability.python.distributions import batch_broadcast
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import log_prob_ratio
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
label_desc: Use image node_id 1 for calling the TransformedDistribution obj's underlying member method code with example usage: obj.__new__(cls) and returns: super, _TransformedDistribution