code: def execute(self, train_data: DataLoader, test_data: DataLoader):
      self.state["train_data"] = train_data
      self.state["test_data"] = test_data
  
file_path: nebuly/optimization/forward_forward/forward_forward/operations/fetch_operations.py
imports: from typing import Any
  from nebullvm.operations.base import Operation
  from torch.utils.data import DataLoader
label_desc: Use image node_id 2 for calling the FetchTrainingDataFromLocal obj's underlying member method code with example usage: obj.execute(train_data, test_data) without return types