code: def test_linear(self):
      class LinearModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.linear = torch.nn.Linear(3, 3)
  
          def forward(self, arg):
              return self.linear(arg)
  
      model = LinearModule()
      model.eval()
  
      self.run_compare_torch(
          [(3, 3)],
          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 2 for calling the TestExecutorch obj's underlying member method code with example usage: obj.test_linear() and returns: self