code: def clip_gradient_norms_fn(max_norm):
      """Returns a `transform_grads_fn` function for gradient clipping."""
  
      def clip_norms(gradients_to_variables):
          return clip_gradient_norms(gradients_to_variables, max_norm)
  
      return clip_norms
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import functools
  import inspect
  from absl import logging
  import numpy
  import six
  import tensorflow
  from tf_agents.utils import common
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 7 for calling a global function with example usage: clip_gradient_norms_fn(max_norm) and returns: clip_norms, clip_gradient_norms