class_docstr: A SAC Agent.
class_docstr_tok: ["A","SAC","Agent","."]
code: def _convert_optimizer_to_legacy(self, optimizer):
      if hasattr(tf.keras.optimizers, "experimental") and isinstance(
          optimizer, tf.keras.optimizers.experimental.Optimizer
      ):
          return tf.keras.__internal__.optimizers.convert_to_legacy_optimizer(
              optimizer
          )
      return optimizer
  
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 2 for calling the SacAgent obj's underlying member method code with example usage: obj._convert_optimizer_to_legacy(optimizer) and returns: optimizer, tf