code: def __init__(self, dim, n_heads, norm_eps):
      self.attn = Attention(dim, n_heads)
      self.mlp = FeedForward(dim, 4 * dim)
      self.ln_1 = LayerNorm(dim, norm_eps)
      self.ln_2 = LayerNorm(dim, norm_eps)
  
imports: from typing import Optional, Union
  import argparse
  from tqdm import trange
  import numpy
  import tiktoken
  from tinygrad import Tensor, TinyJit, Device, GlobalCounters
  from tinygrad.helpers import Timing, DEBUG, getenv, fetch, colored
  from tinygrad.nn import Embedding, Linear, LayerNorm
  from tinygrad.nn.state import torch_load, load_state_dict, get_state_dict
  from tinygrad.shape.symbolic import Variable
label_desc: Use image node_id 1 to create a new TransformerBlock object  with example: obj = TransformerBlock(dim, n_heads, norm_eps)