code: def normalization(channels, swish=0.0):
      """
      Make a standard normalization layer, with an optional swish activation.
  
      :param channels: number of input channels.
      :return: an nn.Module for normalization.
      """
      return GroupNorm32(
          num_channels=channels, num_groups=32, swish=swish
      )
  
file_path: stablediffusion/ldm/modules/karlo/kakao/modules/nn.py
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 6 for calling a global function with example usage: normalization(channels, swish) and returns: GroupNorm32