code: def normalization(channels):
      """
      Make a standard normalization layer.
      :param channels: number of input channels.
      :return: an nn.Module for normalization.
      """
      return GroupNorm32(32, channels)
  
imports: import os
  import math
  import torch
  import torch.nn
  import numpy
  from einops import repeat
  from ldm.util import instantiate_from_config
label_desc: Use image node_id 11 for calling a global function with example usage: normalization(channels) and returns: GroupNorm32