class_docstr: A SAC Agent.
class_docstr_tok: ["A","SAC","Agent","."]
code: def _alpha_loss_debug_summaries(self, alpha_loss, entropy_diff):
      if self._debug_summaries:
          common.generate_tensor_summaries(
              "alpha_loss", alpha_loss, self.train_step_counter
          )
          common.generate_tensor_summaries(
              "entropy_diff", entropy_diff, self.train_step_counter
          )
  
          tf.compat.v2.summary.scalar(
              name="log_alpha",
              data=self._log_alpha,
              step=self.train_step_counter,
          )
  
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 16 for calling the SacAgent obj's underlying member method code with example usage: obj._alpha_loss_debug_summaries(alpha_loss, entropy_diff) without return types