code: def get_data(path, isTrain, stat_file):
      ds = LMDBSerializer.load(path, shuffle=isTrain)
      mean, std = serialize.loads(open(stat_file, "rb").read())
      ds = MapDataComponent(ds, lambda x: (x - mean) / std)
      ds = TIMITBatch(ds, BATCH)
      if isTrain:
          ds = MultiProcessRunnerZMQ(ds, 1)
      return ds
  
file_path: tensorpack/examples/CTC-TIMIT/train-timit.py
imports: import argparse
  import os
  import tensorflow
  from tensorpack import *
  from tensorpack.tfutils.gradproc import GlobalNormClip, SummaryGradient
  from timitdata import TIMITBatch
label_desc: Use image node_id 1 for calling a global function with example usage: get_data(path, isTrain, stat_file) and returns: ds