code: def normalization(channels):
      """
      ### Group normalization
  
      This is a helper function, with fixed number of groups..
      """
      return GroupNorm32(32, channels)
  
imports: import math
  from typing import List
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from labml_nn.diffusion.stable_diffusion.model.unet_attention import SpatialTransformer
label_desc: Use image node_id 1 for calling a global function with example usage: normalization(channels) and returns: GroupNorm32