class_docstr: an unassuming Transformer block
class_docstr_tok: ["an","unassuming","Transformer","block"]
code: def __init__(self, config: GPTConfig):
      super().__init__()
      self.ln_1 = nn.LayerNorm(config.n_embed)
      self.attn = CausalSelfAttention(config)
      self.ln_2 = nn.LayerNorm(config.n_embed)
      self.mlp = nn.ModuleDict(
          dict(
              c_fc=nn.Linear(config.n_embed, 4 * config.n_embed),
              c_proj=nn.Linear(4 * config.n_embed, config.n_embed),
              act=NewGELU(),
              dropout=nn.Dropout(config.resid_pdrop),
          )
      )
  
imports: import math
  from dataclasses import dataclass
  from typing import Tuple
  import torch
  import torch.nn
  from torch.nn import functional
  from ray.rllib.utils.annotations import DeveloperAPI
  from ray.rllib.utils.deprecation import Deprecated
label_desc: Use image node_id 1 to create a new Block object from inherited base classes: nn with example: obj = Block(config)