code: def __call__(
      self,
      x: Tensor,
      start_pos: Union[Variable, int],
      freqs_cis: Tensor,
      mask: Optional[Tensor],
  ):
      h = x + self.attention(
          self.attention_norm(x), start_pos, freqs_cis, mask
      )
      return (h + self.feed_forward(self.ffn_norm(h).half())).realize()
  
imports: from typing import Tuple, Union, Optional, Dict
  from tinygrad import Tensor, Variable, TinyJit, dtypes, nn, Device
  from tinygrad.helpers import getenv
label_desc: Use image node_id 2 for calling the TransformerBlock obj's underlying member method code with example usage: obj.__call__(x, start_pos, freqs_cis, mask) and returns: unknown