code: def test_mul(self):
      class MulModule(torch.nn.Module):
          def __init__(self) -> None:
              super().__init__()
  
          def forward(self, input, other):
              return input * other
  
      model = MulModule()
      model.eval()
  
      self.run_compare_torch(
          [(3, 2), (3, 2)],
          model,
          frontend=TorchFrontend.EDGEIR,
      )
  
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 1 for calling the TestExecutorch obj's underlying member method code with example usage: obj.test_mul() and returns: unknown