code: def test_inference_semantic_segmentation(self):
      model = MobileViTV2ForSemanticSegmentation.from_pretrained(
          "shehan97/mobilevitv2-1.0-voc-deeplabv3"
      )
      model = model.to(torch_device)
  
      image_processor = MobileViTImageProcessor.from_pretrained(
          "shehan97/mobilevitv2-1.0-voc-deeplabv3"
      )
  
      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, 32, 32))
      self.assertEqual(logits.shape, expected_shape)
  
      expected_slice = torch.tensor(
          [
              [
                  [7.0863, 7.1525, 6.8201],
                  [6.6931, 6.8770, 6.8933],
                  [6.2978, 7.0366, 6.9636],
              ],
              [
                  [-3.7134, -3.6712, -3.6675],
                  [-3.5825, -3.3549, -3.4777],
                  [-3.3435, -3.3979, -3.2857],
              ],
              [
                  [-2.9329, -2.8003, -2.7369],
                  [-3.0564, -2.4780, -2.0207],
                  [-2.6889, -1.9298, -1.7640],
              ],
          ],
          device=torch_device,
      )
  
      self.assertTrue(
          torch.allclose(
              logits[0, :3, :3, :3], expected_slice, atol=1e-4
          )
      )
  
imports: import unittest
  from transformers import MobileViTV2Config
  from transformers.testing_utils import require_torch, require_torch_multi_gpu, 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 MobileViTV2ModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_semantic_segmentation() without return types