code: def _get_saved_model_loader(self, exported_in_tf1):
      if exported_in_tf1:
          return saved_transform_io_v2.SavedModelLoader(
              self._saved_model_path_v1
          )
      return saved_transform_io_v2.SavedModelLoader(
          self._saved_model_path_v2
      )
  
imports: import os
  import shutil
  import tempfile
  import numpy
  import tensorflow
  from tensorflow_transform import graph_context
  from tensorflow_transform import impl_helper
  from tensorflow_transform import tf_utils
  from tensorflow_transform import test_case
  from tensorflow_transform.py_func.api import apply_pyfunc
  from tensorflow_transform.saved import constants
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow_transform.saved import saved_transform_io_v2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import script_ops
label_desc: Use image node_id 2 for calling the SavedTransformIOV2Test obj's underlying member method code with example usage: obj._get_saved_model_loader(exported_in_tf1) and returns: saved_transform_io_v2, saved_transform_io_v2