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)
  
file_path: pytorch-image-models/timm/models/_prune.py
imports: import os
  import pkgutil
  from copy import deepcopy
  from torch import nn
  from timm.layers import Conv2dSame, BatchNormAct2d, Linear
label_desc: Use image node_id 2 for calling a global function with example usage: set_layer(model, layer, val) without return types