code: def __attrs_post_init__(self) -> None:
      super().__init__()
  
      self.f_attn = AttentionResblock(
          self.n_state,
          self.n_resblocks,
          self.attn_fn,
          self.device,
      )
      self.f_mlp = FullyConnectedResblock(
          self.n_state, self.n_resblocks, self.device
      )
  
imports: import math
  from collections import OrderedDict
  from typing import List, Optional, Tuple, cast
  import attr
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from .attention import AttentionInfo, DenseAttentionMask, DenseCausalAttentionMask, make_full_layout, to_attention_info
  from .utils import Affine, LayerNorm, zero_key_bias_grad
label_desc: Use image node_id 1 for calling the TransformerBlock obj's underlying member method code with example usage: obj.__attrs_post_init__() without return types