code: def create_and_check_model(
      self, config, pixel_values, labels, pixel_labels
  ):
      model = MobileNetV1Model(config=config)
      model.to(torch_device)
      model.eval()
      result = model(pixel_values)
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (
              self.batch_size,
              self.last_hidden_size,
              self.image_size // self.output_stride,
              self.image_size // self.output_stride,
          ),
      )
  
imports: import unittest
  from transformers import MobileNetV1Config
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 4 for calling the MobileNetV1ModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, pixel_values, labels, pixel_labels) without return types