code: def test_vit(self):
      model = torchvision.models.vit_b_16(weights="IMAGENET1K_V1")
      model.eval()
  
      self.run_compare_torch(
          [(1, 3, 224, 224)],
          model,
          frontend=TorchFrontend.EDGEIR,
          backend=("mlprogram", "fp16"),
      )
  
imports: import pytest
  from coremltools._deps import _HAS_EXECUTORCH, _HAS_TORCH_VISION
  import torch
  import torchvision
  import torchaudio
  import torchsr
  import timm
  import transformers
  from .testing_utils import TorchBaseTest, TorchFrontend
label_desc: Use image node_id 14 for calling the TestExecutorch obj's underlying member method code with example usage: obj.test_vit() without return types