code: def test_quantized_mobilenetv2(self):
      model = torchvision.models.quantization.mobilenet_v2(
          pretrained=True, quantize=True
      )
      self.run_compare_torch([(1, 3, 224, 224)], model, atol=1.0)
  
imports: import itertools
  from typing import Optional
  import numpy
  import pytest
  import torch
  import torchvision
  import coremltools
  from coremltools import TensorType
  from coremltools._deps import _HAS_TORCH, _HAS_TORCH_VISION, MSG_TORCH_NOT_FOUND, MSG_TORCH_VISION_NOT_FOUND
  from coremltools.converters.mil.testing_utils import get_op_types_in_program
  from .testing_utils import TorchBaseTest
label_desc: Use image node_id 1 for calling the TestTorchvisionQuantizedModels obj's underlying member method code with example usage: obj.test_quantized_mobilenetv2() without return types