code: def __init__(self):
      super().__init__()
      self.model = None
      self.train_data = None
      self.test_data = None
  
      self.fetch_model_op = FetchModelFromLocal()
      self.fetch_data_op = FetchTrainingDataFromLocal()
  
imports: from abc import ABC, abstractmethod
  import torch
  from nebullvm.operations.base import Operation
  from nebullvm.operations.fetch_operations.local import FetchModelFromLocal
  from torch.utils.data import DataLoader
  from torchvision import datasets
  from forward_forward.operations.data import VOCABULARY
  from forward_forward.operations.fetch_operations import FetchTrainingDataFromLocal
  from forward_forward.utils.labels import LabelsInjector
  from forward_forward.utils.modules import FCNetFFProgressive
  from forward_forward.utils.utils import ProgressiveTrainingDataset, compute_perplexity
label_desc: Use image node_id 1 to create a new BaseForwardForwardTrainer object from inherited base classes: Operation, ABC with example: obj = BaseForwardForwardTrainer()