code: def Normalize(in_channels, num_groups=32):
      return torch.nn.GroupNorm(
          num_groups=num_groups,
          num_channels=in_channels,
          eps=1e-6,
          affine=True,
      )
  
imports: import logging
  import math
  from typing import Any, Callable, Optional
  import numpy
  import torch
  import torch.nn
  from einops import rearrange
  from packaging import version
  from ...modules.attention import LinearAttention, MemoryEfficientCrossAttention
label_desc: Use image node_id 3 for calling a global function with example usage: Normalize(in_channels, num_groups) and returns: torch