class_docstr: Event space bijector for BatchBroadcast.
docstr: Maybe return a `_NonCompositeTensorBatchBroadcast`.
docstr_tok: ["Maybe","return","a","`","_NonCompositeTensorBatchBroadcast","`","."]
code: def __new__(cls, *args, **kwargs):
      """Maybe return a `_NonCompositeTensorBatchBroadcast`."""
  
      if cls is _BroadcastingBijector:
          if args:
              bcast_dist = args[0]
          else:
              bcast_dist = kwargs.get("bcast_dist")
          if len(args) > 1:
              bijector = args[1]
          else:
              bijector = kwargs.get("bijector")
  
          if not (
              auto_composite_tensor.is_composite_tensor(bcast_dist)
              and auto_composite_tensor.is_composite_tensor(bijector)
          ):
              return _NonCompositeTensorBroadcastingBijector(
                  *args, **kwargs
              )
      return super(_BroadcastingBijector, cls).__new__(cls)
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
label_desc: Use image node_id 1 for calling the _BroadcastingBijector obj's underlying member method code with example usage: obj.__new__(cls) and returns: super, _NonCompositeTensorBroadcastingBijector