class_docstr: Event space bijector for BatchBroadcast.
code: def __init__(self, bcast_dist, bijector):
      parameters = dict(locals())
      self.bcast_dist = bcast_dist
      self.bijector = bijector
      super(_NonCompositeTensorBroadcastingBijector, self).__init__(
          validate_args=bcast_dist.validate_args,
          dtype=bijector.dtype,
          forward_min_event_ndims=bijector.forward_min_event_ndims,
          inverse_min_event_ndims=bijector.inverse_min_event_ndims,
          parameters=parameters,
      )
  
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 to create a new _NonCompositeTensorBroadcastingBijector object from inherited base classes: bijector_lib with example: obj = _NonCompositeTensorBroadcastingBijector(bcast_dist, bijector)