class_docstr: https://github.com/stanfordnlp/stanza/blob/v1.1.1/stanza/models/common/biaffine.py#L5  # noqa
class_docstr_tok: ["https",":","\/\/github.com\/stanfordnlp\/stanza\/blob\/v1.1.1\/stanza\/models\/common\/biaffine.py","#","L5","#","noqa"]
code: def reset_parameters(self):
      bound = 1 / math.sqrt(self.weight.size(0))
      nn.init.uniform_(self.weight, -bound, bound)
      if self.bias is not None:
          nn.init.uniform_(self.bias, -bound, bound)
  
imports: import math
  from logging import getLogger
  from pathlib import Path
  from typing import List, Dict, Union, Optional, Tuple
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers import AutoConfig, AutoModel
  from deeppavlov.core.commands.utils import expand_path
  from deeppavlov.core.common.errors import ConfigError
  from deeppavlov.core.common.registry import register
  from deeppavlov.core.models.torch_model import TorchModel
  from deeppavlov.models.torch_bert.torch_transformers_sequence_tagger import token_from_subtoken
label_desc: Use image node_id 2 for calling the PairwiseBilinear obj's underlying member method code with example usage: obj.reset_parameters() without return types