code: def get_max_q_values(self, q_values, possible_actions_mask):
      return self.get_max_q_values_with_target(
          q_values, q_values, possible_actions_mask
      )
  
imports: import logging
  from abc import abstractmethod
  from typing import Dict, List, Optional
  import reagent.core.types
  import torch
  import torch.nn.functional
  from reagent.core.parameters import EvaluationParameters, RLParameters
  from reagent.core.torch_utils import masked_softmax
  from reagent.evaluation.evaluation_data_page import EvaluationDataPage
  from reagent.evaluation.evaluator import Evaluator
  from reagent.optimizer import Optimizer__Union
  from reagent.training.reagent_lightning_module import ReAgentLightningModule
  from reagent.training.rl_trainer_pytorch import RLTrainerMixin
label_desc: Use image node_id 1 for calling the DQNTrainerMixin obj's underlying member method code with example usage: obj.get_max_q_values(q_values, possible_actions_mask) and returns: self