code: def std_clip_transform(
      stddevs: types.NestedTensor,
  ) -> types.NestedTensor:
      stddevs = tf.nest.map_structure(
          lambda t: tf.clip_by_value(t, -20, 2), stddevs
      )
      return tf.exp(stddevs)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from typing import Callable, Optional, Text
  import gin
  import numpy
  from six.moves import zip
  import tensorflow
  import tensorflow_probability
  from tf_agents.agents import data_converter
  from tf_agents.agents import tf_agent
  from tf_agents.networks import network
  from tf_agents.policies import actor_policy
  from tf_agents.policies import tf_policy
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import common
  from tf_agents.utils import eager_utils
  from tf_agents.utils import nest_utils
  from tf_agents.utils import object_identity
label_desc: Use image node_id 1 for calling a global function with example usage: std_clip_transform(stddevs) and returns: tf