code: def process_cifar10_data(x_train, x_test):
      x_train, x_test = asfloat(x_train), asfloat(x_test)
  
      mean = x_train.mean(axis=(0, 1, 2)).reshape(1, 1, 1, -1)
      std = x_train.std(axis=(0, 1, 2)).reshape(1, 1, 1, -1)
  
      x_train -= mean
      x_train /= std
      x_test -= mean
      x_test /= std
  
      return x_train, x_test
  
file_path: neupy/examples/cnn/cifar10_cnn.py
imports: import numpy
  from sklearn import metrics
  from sklearn.preprocessing import OneHotEncoder
  from neupy.layers import *
  from neupy import algorithms
  from neupy.utils import asfloat
  from load_cifar10 import read_cifar10
label_desc: Use image node_id 1 for calling a global function with example usage: process_cifar10_data(x_train, x_test) and returns: x_train,  x_test