code: def Normalize(in_channels):
      return torch.nn.GroupNorm(
          num_groups=32, num_channels=in_channels, eps=1e-6, affine=True
      )
  
imports: from inspect import isfunction
  import math
  import torch
  import torch.nn.functional
  from torch import nn, einsum
  from einops import rearrange, repeat
  from typing import Optional, Any
  from ldm.modules.diffusionmodules.util import checkpoint
  import os
label_desc: Use image node_id 7 for calling a global function with example usage: Normalize(in_channels) and returns: torch