code: def _get_config(
      self,
      max_updates,
      max_epochs,
      batch_size=1,
      update_frequency=1,
      batch_size_per_device=None,
  ):
      config = {
          "training": {
              "max_updates": max_updates,
              "max_epochs": max_epochs,
              "update_frequency": update_frequency,
              "batch_size": batch_size,
              "batch_size_per_device": batch_size_per_device,
          }
      }
      return get_config_with_defaults(config)
  
imports: import unittest
  from unittest.mock import MagicMock, patch
  import torch
  from mmf.common.registry import registry
  from mmf.utils.general import get_batch_size
  from tests.test_utils import SimpleModel, SimpleNaNLossModel
  from tests.trainers.test_trainer_mocks import TrainerTrainingLoopMock
  from tests.trainers.test_utils import add_model, add_optimizer, get_config_with_defaults, get_mmf_trainer
label_desc: Use image node_id 7 for calling the TestTrainingLoop obj's underlying member method code with example usage: obj._get_config(max_updates, max_epochs, batch_size, update_frequency, batch_size_per_device) and returns: get_config_with_defaults