code: def init_bias(bias):
      nn.init.constant_(bias, 0.0)
  
file_path: smart-moe/examples/transformer-xl/train.py
imports: import argparse
  import time
  import math
  import os, sys
  import itertools
  import numpy
  import torch
  import torch.nn
  import torch.optim
  from data_utils import get_lm_corpus
  from mem_transformer import MemTransformerLM
  from utils.exp_utils import create_exp_dir
  from utils.data_parallel import BalancedDataParallel
label_desc: Use image node_id 2 for calling a global function with example usage: init_bias(bias) without return types