code: def initialize_linear(linear, nonlinearity, bias):
      """
      Initializes the bias to a positive value, hopefully preventing dead neurons
      """
      if nonlinearity in ("relu", "leaky_relu"):
          nn.init.kaiming_normal_(
              linear.weight, nonlinearity=nonlinearity
          )
          nn.init.uniform_(linear.bias, 0, 1 / (bias * 2) ** 0.5)
  
file_path: stanza/stanza/models/constituency/utils.py
imports: from collections import Counter, deque
  import copy
  import logging
  import torch.nn
  from torch import optim
  from stanza.models.common.doc import TEXT, Document
  from stanza.utils.get_tqdm import get_tqdm
label_desc: Use image node_id 7 for calling a global function with example usage: initialize_linear(linear, nonlinearity, bias) without return types