code: def getExportImportCopy(
      self, m, also_test_file=True, map_location=None
  ):
      buffer = io.BytesIO()
      torch.jit.save(m, buffer)
      buffer.seek(0)
      imported = torch.jit.load(buffer, map_location=map_location)
  
      if not also_test_file:
          return imported
  
      with TemporaryFileName() as fname:
          torch.jit.save(imported, fname)
          return torch.jit.load(fname, map_location=map_location)
  
imports: import torch
  import torch.cuda
  import torch.jit
  import torch.jit._logging
  import torch.jit.frontend
  import torch.jit.quantized
  from torch.testing._internal.common_dtype import floating_and_complex_types_and
  from torch.testing._internal.common_utils import TestCase, freeze_rng_state, TemporaryFileName, enable_profiling_mode_for_profiling_tests, is_iterable_of_tensors
  from torch.testing._internal.common_utils import enable_profiling_mode
  from itertools import chain
  from typing import List, Union
  from torch._C import TensorType
  import io
label_desc: Use image node_id 5 for calling the JitCommonTestCase obj's underlying member method code with example usage: obj.getExportImportCopy(m, also_test_file, map_location) and returns: imported, torch