code: def test_add(self):
      class AddModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
  
          def forward(self, x, y):
              z = x + y
              z = z + x
              z = z + x
              z = z + z
              return z
  
      model = AddModule()
      model.eval()
  
      self.run_compare_torch(
          [(1,), (1,)],
          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 3 for calling the TestExecutorch obj's underlying member method code with example usage: obj.test_add() and returns: z