class_docstr: A SAC Agent.
class_docstr_tok: ["A","SAC","Agent","."]
code: def _check_action_spec(self, action_spec):
      flat_action_spec = tf.nest.flatten(action_spec)
      for spec in flat_action_spec:
          if spec.dtype.is_integer:
              raise NotImplementedError(
                  "SacAgent does not currently support discrete actions. "
                  "Action spec: {}".format(action_spec)
              )
  
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 3 for calling the SacAgent obj's underlying member method code with example usage: obj._check_action_spec(action_spec) without return types