code: def cql_optimizer_fn(
      policy: Policy, config: AlgorithmConfigDict
  ) -> Tuple[LocalOptimizer]:
      policy.cur_iter = 0
      opt_list = optimizer_fn(policy, config)
      if config["lagrangian"]:
          log_alpha_prime = nn.Parameter(
              torch.zeros(1, requires_grad=True).float()
          )
          policy.model.register_parameter(
              "log_alpha_prime", log_alpha_prime
          )
          policy.alpha_prime_optim = torch.optim.Adam(
              params=[policy.model.log_alpha_prime],
              lr=config["optimization"]["critic_learning_rate"],
              eps=1e-7,  # to match tf.keras.optimizers.Adam's epsilon default
          )
          return tuple(
              [policy.actor_optim]
              + policy.critic_optims
              + [policy.alpha_optim]
              + [policy.alpha_prime_optim]
          )
      return opt_list
  
imports: import numpy
  import gymnasium
  import logging
  import tree
  from typing import Dict, List, Tuple, Type, Union
  import ray
  import ray.experimental.tf_utils
  from ray.rllib.algorithms.sac.sac_tf_policy import postprocess_trajectory, validate_spaces
  from ray.rllib.algorithms.sac.sac_torch_policy import _get_dist_class, stats, build_sac_model_and_action_dist, optimizer_fn, ComputeTDErrorMixin, setup_late_mixins, action_distribution_fn
  from ray.rllib.models.torch.torch_action_dist import TorchDistributionWrapper
  from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.policy.policy_template import build_policy_class
  from ray.rllib.policy.policy import Policy
  from ray.rllib.policy.torch_mixins import TargetNetworkMixin
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.metrics.learner_info import LEARNER_STATS_KEY
  from ray.rllib.utils.typing import LocalOptimizer, TensorType, AlgorithmConfigDict
  from ray.rllib.utils.torch_utils import apply_grad_clipping, convert_to_torch_tensor, concat_multi_gpu_td_errors
label_desc: Use image node_id 6 for calling a global function with example usage: cql_optimizer_fn(policy, config) and returns: opt_list, tuple