code: def create_aa(aa_layer, channels, stride=2, enable=True):
      if not aa_layer or not enable:
          return nn.Identity()
      return (
          aa_layer(stride)
          if issubclass(aa_layer, nn.AvgPool2d)
          else aa_layer(channels=channels, stride=stride)
      )
  
imports: import math
  from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.models.helpers import build_model_with_cfg
  from timm.models.layers import DropBlock2d, DropPath, AvgPool2dSame, BlurPool2d, GroupNorm, create_attn, get_attn, create_classifier
label_desc: Use image node_id 2 for calling a global function with example usage: create_aa(aa_layer, channels, stride, enable) and returns: unknown, nn