code: def get_size(self):
      with TemporaryDirectory() as tmp_dir:
          self.save(tmp_dir)
          return sum(
              os.path.getsize(Path(tmp_dir) / f)
              for f in os.listdir(Path(tmp_dir))
              if os.path.isfile(Path(tmp_dir) / f)
          )
  
imports: import os
  from pathlib import Path
  from tempfile import TemporaryDirectory
  from nebullvm.operations.inference_learners.torchscript import TorchScriptInferenceLearner
label_desc: Use image node_id 1 for calling the TorchNeuronInferenceLearner obj's underlying member method code with example usage: obj.get_size() and returns: sum