code: def data_loaders(c: LoaderConfigs):
      train_data = _data_loader(True, c.train_batch_size)
      valid_data = _data_loader(False, c.valid_batch_size)
  
      return train_data, valid_data
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torch.utils.data
  from torchvision import datasets, transforms
  from labml import experiment, lab, tracker, logger
  from labml.configs import BaseConfigs, option
label_desc: Use image node_id 2 for calling a global function with example usage: data_loaders(c) and returns: train_data,  valid_data