code: def cifar10_valid_loader(c: CIFAR10Configs):
      return DataLoader(
          c.valid_dataset,
          batch_size=c.valid_batch_size,
          shuffle=c.valid_loader_shuffle,
      )
  
file_path: labml/helpers/labml_helpers/datasets/cifar10.py
imports: from torch.utils.data import DataLoader
  from torchvision import datasets, transforms
  from labml import lab
  from labml.configs import BaseConfigs
label_desc: Use image node_id 6 for calling a global function with example usage: cifar10_valid_loader(c) and returns: DataLoader