docstr: Returns a `_JointMap` any of `bijectors` is not a `CompositeTensor.
docstr_tok: ["Returns","a","`","_JointMap","`","any","of","`","bijectors","`","is","not","a","`","CompositeTensor","."]
code: def __new__(cls, *args, **kwargs):
      """Returns a `_JointMap` any of `bijectors` is not a `CompositeTensor."""
      if cls is JointMap:
          if args:
              bijectors = args[0]
          else:
              bijectors = kwargs.get("bijectors")
          if bijectors is not None:
              if not all(
                  auto_composite_tensor.is_composite_tensor(b)
                  for b in tf.nest.flatten(bijectors)
              ):
                  return _JointMap(*args, **kwargs)
      return super(JointMap, cls).__new__(cls)
  
file_path: probability/tensorflow_probability/python/bijectors/joint_map.py
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import composition
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow.python.util import nest
label_desc: Use image node_id 1 for calling the JointMap obj's underlying member method code with example usage: obj.__new__(cls) and returns: super, _JointMap