code: def test_stacktrace_interface_call(self):
      @torch.jit.interface
      class Forward(torch.nn.Module):
          def forward(self, x) -> torch.Tensor:
              pass
  
          def forwardError(self, x) -> torch.Tensor:
              pass
  
      class B(torch.nn.Module):
          def forward(self, x):
              return x
  
          def forwardError(self, x):
              return self.call() + x
  
          def call(self):
              return torch.ones(-1)
  
      class A(torch.nn.Module):
          b: Forward
  
          def __init__(self):
              super().__init__()
              self.b = B()
  
          def forward(self):
              self.b.forward(torch.ones(1))
              self.b.forwardError(torch.ones(1))
  
      a = torch.jit.script(A())
      torch._C._enable_mobile_interface_call_export()
      buffer = io.BytesIO(
          a._save_to_buffer_for_lite_interpreter(
              _save_mobile_debug_info=True
          )
      )
      buffer.seek(0)
      mobile_module = _load_for_lite_interpreter(buffer)
      try:
          mobile_module()
          self.assertTrue(False)
      except RuntimeError as exp:
          FileCheck().check(
              "Trying to create tensor with negative dimension"
          ).check("Traceback of TorchScript").check(
              "self.b.forwardError"
          ).check_next(
              "~~~~~~~~~~~~~~~~~~~ <--- HERE"
          ).check(
              "return self.call"
          ).check_next(
              "~~~~~~~~~ <--- HERE"
          ).check(
              "return torch.ones"
          ).check_next(
              "~~~~~~~~~~ <--- HERE"
          ).run(
              str(exp)
          )
  
imports: import torch
  import torch.utils.bundled_inputs
  import io
  from tempfile import TemporaryFileName
  from typing import Dict, List
  import inspect
  from torch.testing import FileCheck
  from torch.jit.mobile import _load_for_lite_interpreter, _export_operator_list
  from torch.testing._internal.common_utils import TestCase, run_tests
  from torch.testing._internal.common_quantization import AnnotatedSingleLayerLinearModel, TwoLayerLinearModel, AnnotatedNestedModel
  from torch.testing._internal.common_quantization import QuantizationLiteTestCase
label_desc: Use image node_id 16 for calling the TestLiteScriptModule obj's underlying member method code with example usage: obj.test_stacktrace_interface_call() and returns: x, unknown, torch