code: def _test_model_performance(self, model):
      model = model.to(get_current_device())
      result = model.classify(
          "https://i.imgur.com/tEcsk5q.jpg",
          "look how many people love you",
      )
      self.assertEqual(result["label"], 0)
      np.testing.assert_almost_equal(
          result["confidence"], 0.9993, decimal=3
      )
      result = model.classify(
          "https://i.imgur.com/tEcsk5q.jpg", "they have the privilege"
      )
      self.assertEqual(result["label"], 0)
      np.testing.assert_almost_equal(
          result["confidence"], 0.9777, decimal=1
      )
      result = model.classify(
          "https://i.imgur.com/tEcsk5q.jpg", "hitler and jews"
      )
      self.assertEqual(result["label"], 1)
      np.testing.assert_almost_equal(
          result["confidence"], 0.8342, decimal=3
      )
  
imports: import os
  import shutil
  import tempfile
  import unittest
  from pathlib import Path
  import numpy
  import tests.test_utils
  import torch
  from mmf.models.mmbt import MMBT
  from mmf.modules.hf_layers import undo_replace_with_jit
  from mmf.utils.configuration import get_mmf_env, load_yaml
  from mmf.utils.file_io import PathManager
  from mmf.utils.general import get_current_device
label_desc: Use image node_id 4 for calling the TestModelInterfaces obj's underlying member method code with example usage: obj._test_model_performance(model) without return types