code: def test_get_detached_model_outputs(self):
      trainer = self._construct_trainer()
      q_out, q_target = trainer.get_detached_model_outputs(self.x)
      self.assertEqual(
          q_out.shape[0], q_target.shape[0], self.batch_size
      )
      self.assertEqual(
          q_out.shape[1], q_target.shape[1], self.action_dim
      )
  
imports: import unittest
  import torch
  from reagent.core.parameters import EvaluationParameters, RLParameters
  from reagent.core.types import DiscreteDqnInput, ExtraData, FeatureData
  from reagent.evaluation.evaluation_data_page import EvaluationDataPage
  from reagent.evaluation.evaluator import get_metrics_to_score
  from reagent.models.dqn import FullyConnectedDQN
  from reagent.training.dqn_trainer import DQNTrainer
  from reagent.training.parameters import DQNTrainerParameters
  from reagent.workflow.types import RewardOptions
label_desc: Use image node_id 6 for calling the TestDQN obj's underlying member method code with example usage: obj.test_get_detached_model_outputs() without return types