code: def __init__(self, config, layer_idx):
      super().__init__()
      self.ln_1 = LayerNorm(config.n_embd, bias=config.bias)
      self.attn = CausalSelfAttention(config)
      self.ln_2 = LayerNorm(config.n_embd, bias=config.bias)
      self.mlp = MLP(config)
      self.layer_idx = layer_idx
  
imports: import math
  from dataclasses import dataclass
  import torch
  from coqpit import Coqpit
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new Block object from inherited base classes: nn with example: obj = Block(config, layer_idx)