code: def set_layer(model, layer, val):
      layer = layer.split(".")
      module = model
      if hasattr(model, "module") and layer[0] != "module":
          module = model.module
      lst_index = 0
      module2 = module
      for l in layer:
          if hasattr(module2, l):
              if not l.isdigit():
                  module2 = getattr(module2, l)
              else:
                  module2 = module2[int(l)]
              lst_index += 1
      lst_index -= 1
      for l in layer[:lst_index]:
          if not l.isdigit():
              module = getattr(module, l)
          else:
              module = module[int(l)]
      l = layer[lst_index]
      setattr(module, l, val)
  
imports: import logging
  import os
  import math
  from collections import OrderedDict
  from copy import deepcopy
  from typing import Any, Callable, Optional, Tuple
  import torch
  import torch.nn
  from torch.hub import load_state_dict_from_url
  from timm.models.features import FeatureListNet, FeatureDictNet, FeatureHookNet
  from timm.models.fx_features import FeatureGraphNet
  from timm.models.hub import has_hf_hub, download_cached_file, load_state_dict_from_hf
  from timm.models.layers import Conv2dSame, Linear
  from timm.models.vision_transformer import VisionTransformer, resize_pos_embed
  import tutel.impls.moe_layer
label_desc: Use image node_id 9 for calling a global function with example usage: set_layer(model, layer, val) without return types