code: def _check_composite_distribution(d):
      """Checks that the tfp Distributions is a CompositeTensor."""
      if isinstance(d, tfp.distributions.Distribution):
          if not hasattr(d, "_type_spec"):
              raise TypeError(f"{d} is not a composite tensor.")
      return d
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import functools
  import os
  from typing import Any, Callable, Dict, Tuple, Optional, Text, cast, Sequence
  from absl import logging
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
  from tensorflow.python.eager import def_function
label_desc: Use image node_id 8 for calling a global function with example usage: _check_composite_distribution(d) and returns: d