code: def extra_repr(self):
      s = "{input_size}, {hidden_size}"
      if "bias" in self.__dict__ and self.bias is not True:
          s += ", bias={bias}"
      if (
          "nonlinearity" in self.__dict__
          and self.nonlinearity != "tanh"
      ):
          s += ", nonlinearity={nonlinearity}"
      return s.format(**self.__dict__)
  
imports: import math
  import torch
  import warnings
  import itertools
  import numbers
  from torch import nn
  from torch.nn import Parameter
  from torch.nn.utils.rnn import PackedSequence
  from lightseq.training.pytorch_quantization import tensor_quant
  from lightseq.training.pytorch_quantization.nn._functions import quant_rnn
  from .None import _utils
label_desc: Use image node_id 1 for calling the QuantRNNCellBase obj's underlying member method code with example usage: obj.extra_repr() and returns: s