code: def normalize(dim: int) -> nn.GroupNorm:
      return nn.GroupNorm(
          num_groups=32, num_channels=dim, eps=1.0e-6, affine=True
      )
  
imports: import torch
  import torch.nn
  from torch import Tensor
  from typing import List
  from typing import Optional
  from .schema import EncoderMixin
  from ....modules.blocks import Conv2d
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(dim) and returns: nn