docstr: Returns a `_Chain` if any of `bijectors` is not a `CompositeTensor.
docstr_tok: ["Returns","a","`","_Chain","`","if","any","of","`","bijectors","`","is","not","a","`","CompositeTensor","."]
code: def __new__(cls, *args, **kwargs):
      """Returns a `_Chain` if any of `bijectors` is not a `CompositeTensor."""
      if cls is Chain:
          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 bijectors
              ):
                  return _Chain(*args, **kwargs)
      return super(Chain, cls).__new__(cls)
  
file_path: probability/tensorflow_probability/python/bijectors/chain.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_probability.python.internal import prefer_static
label_desc: Use image node_id 1 for calling the Chain obj's underlying member method code with example usage: obj.__new__(cls) and returns: super, _Chain