docstr: Maybe returns a `_JointDistributionSequentialAutobatched`.
docstr_tok: ["Maybe","returns","a","`","_JointDistributionSequentialAutobatched","`","."]
code: def __new__(cls, *args, **kwargs):
      """Maybe returns a `_JointDistributionSequentialAutobatched`."""
      if cls is JointDistributionSequentialAutoBatched:
          if args:
              model = args[0]
          else:
              model = kwargs.get("model")
  
          # Return a `_JointDistributionSequentialAutoBatched` instance if `model`
          # contains distributions that are not CompositeTensors.
          if not all(
              auto_composite_tensor.is_composite_tensor(d)
              or callable(d)
              for d in model
          ):
              return _JointDistributionSequentialAutoBatched(
                  *args, **kwargs
              )
      return super(JointDistributionSequentialAutoBatched, cls).__new__(
          cls
      )
  
imports: import functools
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import joint_distribution_coroutine
  from tensorflow_probability.python.distributions import joint_distribution_named
  from tensorflow_probability.python.distributions import joint_distribution_sequential
  from tensorflow_probability.python.internal import auto_composite_tensor
label_desc: Use image node_id 1 for calling the JointDistributionSequentialAutoBatched obj's underlying member method code with example usage: obj.__new__(cls) and returns: super, _JointDistributionSequentialAutoBatched