code: def __init__(self, dim, n_heads):
      self.c_attn = Linear(dim, 3 * dim, bias=True)
      self.c_proj = Linear(dim, dim, bias=True)
      self.n_heads = n_heads
      self.dim = dim
      self.head_dim = dim // n_heads
  
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 Attention object  with example: obj = Attention(dim, n_heads)