code: def benchmark_raw_restore(self):
      checkpoint_path = _save_checkpoint()
      all_names, all_dtypes = zip(
          *py_checkpoint_reader.NewCheckpointReader(checkpoint_path)
          .get_variable_to_dtype_map()
          .items()
      )
  
      def _call_restore_v2():
          gen_io_ops.restore_v2(
              checkpoint_path,
              all_names,
              [""] * len(all_names),
              all_dtypes,
          )
  
      self._run(_call_restore_v2, 3)
  
imports: import os
  import time
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.framework import ops
  from tensorflow.python.module import module
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_io_ops
  from tensorflow.python.platform import test
  from tensorflow.python.trackable import base
  from tensorflow.python.training import py_checkpoint_reader
label_desc: Use image node_id 5 for calling the SavingBenchmarks obj's underlying member method code with example usage: obj.benchmark_raw_restore() without return types