code: def test_inference_semantic_segmentation(self):
      model = MobileNetV2ForSemanticSegmentation.from_pretrained(
          "google/deeplabv3_mobilenet_v2_1.0_513"
      )
      model = model.to(torch_device)
  
      image_processor = MobileNetV2ImageProcessor.from_pretrained(
          "google/deeplabv3_mobilenet_v2_1.0_513"
      )
  
      image = prepare_img()
      inputs = image_processor(images=image, return_tensors="pt").to(
          torch_device
      )
  
      # forward pass
      with torch.no_grad():
          outputs = model(**inputs)
      logits = outputs.logits
  
      # verify the logits
      expected_shape = torch.Size((1, 21, 65, 65))
      self.assertEqual(logits.shape, expected_shape)
  
      expected_slice = torch.tensor(
          [
              [
                  [17.5790, 17.7581, 18.3355],
                  [18.3257, 18.4230, 18.8973],
                  [18.6169, 18.8650, 19.2187],
              ],
              [
                  [-2.1595, -2.0977, -2.3741],
                  [-2.4226, -2.3028, -2.6835],
                  [-2.7819, -2.5991, -2.7706],
              ],
              [
                  [4.2058, 4.8317, 4.7638],
                  [4.4136, 5.0361, 4.9383],
                  [4.5028, 4.9644, 4.8734],
              ],
          ],
          device=torch_device,
      )
  
      self.assertTrue(
          torch.allclose(
              logits[0, :3, :3, :3], expected_slice, atol=1e-4
          )
      )
  
imports: import unittest
  from transformers import MobileNetV2Config
  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 3 for calling the MobileNetV2ModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_semantic_segmentation() without return types