code: def normalize_image(img, dmin, dmax):
      result = img.copy()
      result = nd.clip(img, dmin, dmax)
      result = (result - dmin) / (dmax - dmin + 1e-5)
      return result
  
imports: import os
  import random
  import math
  import argparse
  import logging
  import os.path
  from io import BytesIO
  import lmdb
  import numpy
  from PIL import Image
  from tqdm import tqdm
  from mpl_toolkits.axes_grid1 import ImageGrid
  import matplotlib.pyplot
  import mxnet
  import mxnet.ndarray
  from mxnet import gluon, autograd
  from mxnet.gluon.data.vision import transforms
  from mxnet.gluon.data import DataLoader
  from model import StyledGenerator, Discriminator
label_desc: Use image node_id 5 for calling a global function with example usage: normalize_image(img, dmin, dmax) and returns: result