code: def main():
      transform = transforms.Compose(
          [
              transforms.ToTensor(),
              transforms.Normalize((0.1307,), (0.3081,)),
          ]
      )
  
      train_dataset = datasets.MNIST(
          str(lab.get_data_path()),
          train=True,
          download=True,
          transform=transform,
      )
  
      valid_dataset = datasets.MNIST(
          str(lab.get_data_path()),
          train=False,
          download=True,
          transform=transform,
      )
  
      ds = DatasetServer()
      ds.add_dataset("mnist_train", train_dataset)
      ds.add_dataset("mnist_valid", valid_dataset)
  
      ds.start()
  
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types