code: def attn(self, x):
      # x: (bs, time, embed_dim) -> (bs, time, embed_dim)
      query, key, value = [
          x.linear(*y)
          .reshape(
              shape=(x.shape[0], -1, self.num_heads, self.head_size)
          )
          .transpose(1, 2)
          for y in [self.query, self.key, self.value]
      ]
      attention = Tensor.scaled_dot_product_attention(
          query, key, value
      ).transpose(1, 2)
      return attention.reshape(
          shape=(x.shape[0], -1, self.num_heads * self.head_size)
      ).linear(*self.out)
  
imports: from tinygrad import Tensor
label_desc: Use image node_id 2 for calling the TransformerBlock obj's underlying member method code with example usage: obj.attn(x) and returns: attention