code: def set_state(
      self,
      model: Union[torch.nn.Module, tf.Module, str],
      data: DataManager,
  ):
      self.model = model
      self.data = data
      return self
  
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 2 for calling the Converter obj's underlying member method code with example usage: obj.set_state(model, data) and returns: self