code: def mnist_transforms():
      return transforms.Compose(
          [
              transforms.ToTensor(),
              transforms.Normalize((0.1307,), (0.3081,)),
          ]
      )
  
file_path: labml/helpers/labml_helpers/datasets/mnist.py
imports: from torch.utils.data import DataLoader
  from torchvision import datasets, transforms
  from labml import lab
  from labml.configs import BaseConfigs, aggregate, option
label_desc: Use image node_id 2 for calling a global function with example usage: mnist_transforms() and returns: transforms