docstr: Maybe return a non-`CompositeTensor` `_Blockwise`.
code: def __new__(cls, *args, **kwargs):
      """Maybe return a non-`CompositeTensor` `_Blockwise`."""
  
      if cls is Blockwise:
          if args:
              distributions = args[0]
          else:
              distributions = kwargs.get("distributions")
  
          if not all(
              auto_composite_tensor.is_composite_tensor(d)
              for d in tf.nest.flatten(distributions)
          ):
              return _Blockwise(*args, **kwargs)
      return super(Blockwise, cls).__new__(cls)
  
imports: import functools
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import joint_distribution_sequential
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import tensorshape_util
label_desc: Use image node_id 1 for calling the Blockwise obj's underlying member method code with example usage: obj.__new__(cls) and returns: super, _Blockwise