code: def load():
      train_x, train_y = load_train_data()
      val_x, val_y = load_test_data()
      train_x, val_x = normalize(train_x, val_x)
      train_y = train_y.flatten()
      val_y = val_y.flatten()
      return train_x, train_y, val_x, val_y
  
file_path: singa/examples/cifar_distributed_cnn/data/cifar100.py
imports: import numpy
  import os
  import sys
label_desc: Use image node_id 6 for calling a global function with example usage: load() and returns: train_x,  train_y,  val_x,  val_y