code: def transform_data(X):
      """Normalizes and transposes data for NeoML"""
      X = X.astype(np.float32)
      X = (X - 127.5) / 255.0
      X = X.reshape((X.shape[0], 3, 32, 32))
      X = X.transpose((0, 2, 3, 1))  # NeoML uses channel-last pack
      return X
  
file_path: neoml/NeoML/samples/python/cifar10.py
imports: import neoml
  import numpy
  import os
  import time
  import tarfile
label_desc: Use image node_id 3 for calling a global function with example usage: transform_data(X) and returns: X