code: def normalization(channels):
      groups = 32
      if channels <= 16:
          groups = 8
      elif channels <= 64:
          groups = 16
      while channels % groups != 0:
          groups = int(groups / 2)
      assert groups > 2
      return GroupNorm32(groups, channels)
  
imports: import math
  import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 2 for calling a global function with example usage: normalization(channels) and returns: GroupNorm32