code: def extra_repr(self):
      s = f"n_in={self.n_in}, n_out={self.n_out}"
      if self.bias_x:
          s += f", bias_x={self.bias_x}"
      if self.bias_y:
          s += f", bias_y={self.bias_y}"
  
      return s
  
imports: from dataclasses import dataclass
  from typing import Optional, Tuple
  import torch
  from torch import nn
  from torch.nn import CrossEntropyLoss
  from transformers.utils import ModelOutput
  from .base import PredictionHead
label_desc: Use image node_id 2 for calling the Biaffine obj's underlying member method code with example usage: obj.extra_repr() and returns: s