code: def test_model_from_pretrained(self):
      for model_name in LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
          model = LxmertModel.from_pretrained(model_name)
          model.to(torch_device)
          self.assertIsNotNone(model)
  
imports: import copy
  import unittest
  import numpy
  from transformers import LxmertConfig, is_tf_available, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 8 for calling the LxmertModelTest obj's underlying member method code with example usage: obj.test_model_from_pretrained() without return types