code: def test_eval_loop(self, a, b):
      config = get_config_with_defaults(
          {"training": {"max_updates": 2, "max_epochs": 2}}
      )
      trainer = get_mmf_trainer(config=config)
      combined_report, meter = trainer.evaluation_loop("val")
      self.assertAlmostEqual(
          combined_report["losses"]["loss"], 493377.5312
      )
      self.assertAlmostEqual(
          combined_report["logits"].item(), -0.2379742, 6
      )
  
imports: import unittest
  from unittest.mock import MagicMock, patch
  import torch
  from tests.trainers.test_utils import get_config_with_defaults, get_mmf_trainer
label_desc: Use image node_id 2 for calling the TestEvalLoop obj's underlying member method code with example usage: obj.test_eval_loop(a, b) without return types