code: def transform(data, label):
      return nd.transpose(
          data.astype(np.float32), (2, 0, 1)
      ) / 255, label.astype(np.float32)
  
file_path: mxnet/example/distributed_training/cifar10_kvstore_hvd.py
imports: import argparse
  import logging
  import time
  import random
  import types
  import warnings
  import numpy
  import mxnet
  from mxnet import autograd, gluon, kv, nd
  from mxnet.gluon.model_zoo import vision
label_desc: Use image node_id 1 for calling a global function with example usage: transform(data, label) and returns: unknown,  label