code: def pil_to_nparray(pil_image):
      """Convert a PIL.Image to numpy array."""
      pil_image.load()
      return np.asarray(pil_image, dtype="float32")
  
imports: from __future__ import division, print_function, absolute_import
  import os
  import random
  import numpy
  from PIL import Image
  import pickle
  import csv
  import warnings
  import tensorflow.compat.v1
  from io import BytesIO
label_desc: Use image node_id 14 for calling a global function with example usage: pil_to_nparray(pil_image) and returns: np