code: def normalize_ref(image):
      normalization_mean = [0.485, 0.456, 0.406]
      normalization_std = [0.229, 0.224, 0.225]
  
      image = image.astype(dtype=np.float64).transpose((2, 0, 1)) / 255
      for plane, (m, s) in zip(
          range(len(image)), zip(normalization_mean, normalization_std)
      ):
          image[plane] = (image[plane] - m) / s
      return image
  
imports: import argparse
  import os
  from math import ceil, sqrt
  import numpy
  import nvidia.dali.ops
  import nvidia.dali.types
  from nvidia.dali.pipeline import Pipeline
  from test_utils import get_dali_extra_path
  from test_utils import to_array
label_desc: Use image node_id 3 for calling a global function with example usage: normalize_ref(image) and returns: image