code: def __init__(self, dim, depth, heads, dim_head, mlp_dim):
      super().__init__()
      self.norm = nn.LayerNorm(dim)
      self.layers = nn.ModuleList([])
      for _ in range(depth):
          self.layers.append(
              nn.ModuleList(
                  [
                      Attention(dim, heads=heads, dim_head=dim_head),
                      FeedForward(dim, mlp_dim),
                  ]
              )
          )
  
imports: import torch
  from torch import nn
  import torch.nn.functional
  from einops import rearrange
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 1 to create a new Transformer object from inherited base classes: nn with example: obj = Transformer(dim, depth, heads, dim_head, mlp_dim)