code: def __init__(
      self,
      n_ctx: int,
      width: int,
      heads: int,
  ):
      super().__init__()
  
      self.attn = MultiheadAttention(
          n_ctx,
          width,
          heads,
      )
      self.ln_1 = LayerNorm(width)
      self.mlp = MLP(width)
      self.ln_2 = LayerNorm(width)
  
imports: import math
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new ResidualAttentionBlock object from inherited base classes: nn with example: obj = ResidualAttentionBlock(n_ctx, width, heads)