code: def normalize_fn(tensor, mean, std):
      """Differentiable version of torchvision.functional.normalize"""
      # here we assume the color channel is in at dim=1
      mean = mean[None, :, None, None]
      std = std[None, :, None, None]
      return tensor.sub(mean).div(std)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 24 for calling a global function with example usage: normalize_fn(tensor, mean, std) and returns: tensor