code: def getScriptExportImportCopy(
      self, m, save_mobile_debug_info=True, also_test_file=False
  ):
      m_scripted = torch.jit.script(m)
  
      if not also_test_file:
          buffer = io.BytesIO(
              m_scripted._save_to_buffer_for_lite_interpreter(
                  _save_mobile_debug_info=save_mobile_debug_info
              )
          )
          buffer.seek(0)
          mobile_module = _load_for_lite_interpreter(buffer)
          return mobile_module
  
      with TemporaryFileName() as fname:
          m_scripted._save_for_lite_interpreter(
              fname, _save_mobile_debug_info=save_mobile_debug_info
          )
          mobile_module = _load_for_lite_interpreter(fname)
          return mobile_module
  
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 1 for calling the TestLiteScriptModule obj's underlying member method code with example usage: obj.getScriptExportImportCopy(m, save_mobile_debug_info, also_test_file) and returns: mobile_module, mobile_module