code: def __init__(self, dim, fn, depth):
      super().__init__()
      if depth <= 18:
          init_eps = 0.1
      elif 18 > depth <= 24:
          init_eps = 1e-5
      else:
          init_eps = 1e-6
  
      self.fn = fn
      self.scale = nn.Parameter(torch.full((dim,), init_eps))
  
imports: from random import randrange
  import torch
  from torch import nn, einsum
  from torch.nn import Module, ModuleList
  import torch.nn.functional
  from einops import rearrange, repeat, pack, unpack
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 1 to create a new LayerScale object from inherited base classes: Module with example: obj = LayerScale(dim, fn, depth)