code: def has_tensors(*x):
      return np.any(
          [
              tf.is_tensor(t)
              for t in tf.nest.flatten(x, expand_composites=True)
          ]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import numbers
  from typing import Optional, Text
  from absl import logging
  import numpy
  from six.moves import zip
  import tensorflow
  from tf_agents.typing import types
  from tf_agents.utils import composite
  import wrapt
  from tensorflow.python.util import nest
label_desc: Use image node_id 5 for calling a global function with example usage: has_tensors() and returns: np