code: def get_result(self) -> List:
      return [
          model for model in self.converted_models if model is not None
      ]
  
imports: import abc
  from pathlib import Path
  from typing import Optional, List, Union
  from nebullvm.core.models import DeviceType, DeepLearningFramework, ModelParams
  from nebullvm.operations.base import Operation
  from nebullvm.operations.conversions.pytorch import convert_torch_to_onnx
  from nebullvm.operations.conversions.tensorflow import convert_tf_to_onnx
  from nebullvm.optional_modules.onnx import onnx
  from nebullvm.optional_modules.tensorflow import tensorflow
  from nebullvm.optional_modules.torch import torch
  from nebullvm.tools.data import DataManager
label_desc: Use image node_id 3 for calling the Converter obj's underlying member method code with example usage: obj.get_result() and returns: unknown