code: def lstm_hidden_bias(tensor):
      """
      Initialize the biases of the forget gate to 1, and all other gates to 0,
      following Jozefowicz et al., An Empirical Exploration of Recurrent Network Architectures
      """
      # gates are (b_hi|b_hf|b_hg|b_ho) of shape (4*hidden_size)
      tensor.data.zero_()
      hidden_size = tensor.shape[0] // 4
      tensor.data[hidden_size : (2 * hidden_size)] = 1.0
  
imports: from __future__ import division
  from __future__ import absolute_import
  import logging
  import re
  import math
  import itertools
  import torch
  import torch.nn.init
  from allennlp.common import Registrable
  from allennlp.common.params import Params
  from allennlp.common.checks import ConfigurationError
label_desc: Use image node_id 4 for calling a global function with example usage: lstm_hidden_bias(tensor) without return types