class_docstr: A SAC Agent.
class_docstr_tok: ["A","SAC","Agent","."]
code: def _critic_loss_debug_summaries(
      self, td_targets, pred_td_targets1, pred_td_targets2
  ):
      if self._debug_summaries:
          td_errors1 = td_targets - pred_td_targets1
          td_errors2 = td_targets - pred_td_targets2
          td_errors = tf.concat([td_errors1, td_errors2], axis=0)
          common.generate_tensor_summaries(
              "td_errors", td_errors, self.train_step_counter
          )
          common.generate_tensor_summaries(
              "td_targets", td_targets, self.train_step_counter
          )
          common.generate_tensor_summaries(
              "pred_td_targets1",
              pred_td_targets1,
              self.train_step_counter,
          )
          common.generate_tensor_summaries(
              "pred_td_targets2",
              pred_td_targets2,
              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 14 for calling the SacAgent obj's underlying member method code with example usage: obj._critic_loss_debug_summaries(td_targets, pred_td_targets1, pred_td_targets2) without return types