code: def test_load_mobile_module(self):
      class MyTestModule(torch.nn.Module):
          def forward(self, x):
              return x + 10
  
      input = torch.tensor([1])
  
      script_module = torch.jit.script(MyTestModule())
      script_module_result = script_module(input)
  
      buffer = io.BytesIO(
          script_module._save_to_buffer_for_lite_interpreter()
      )
      buffer.seek(0)
      mobile_module = _load_for_lite_interpreter(buffer)
  
      mobile_module_result = mobile_module(input)
      torch.testing.assert_close(
          script_module_result, mobile_module_result
      )
  
      mobile_module_forward_result = mobile_module.forward(input)
      torch.testing.assert_close(
          script_module_result, mobile_module_forward_result
      )
  
      mobile_module_run_method_result = mobile_module.run_method(
          "forward", input
      )
      torch.testing.assert_close(
          script_module_result, mobile_module_run_method_result
      )
  
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 2 for calling the TestLiteScriptModule obj's underlying member method code with example usage: obj.test_load_mobile_module() and returns: unknown