class_docstr: DataLoaderOperation
class_docstr_tok: ["DataLoaderOperation"]
code: def execute(self, batch_size: int, shuffle: bool):
      train_loader, test_loader = get_dataloader(
          batch_size=batch_size, test_size=0.2, shuffle=shuffle
      )
      self.train_data = train_loader
      self.test_data = test_loader
  
imports: import urllib.request
  from typing import Any
  import torch
  import torch.utils.data
  from nebullvm.operations.base import Operation
  from torchvision import datasets, transforms
label_desc: Use image node_id 3 for calling the AesopFablesDataLoaderOperation obj's underlying member method code with example usage: obj.execute(batch_size, shuffle) without return types