code: def build_arg_parser(parser):
      parser.add_argument(
          "-p",
          "--pss",
          dest="num_pss",
          type=int,
          default=1,
          help="number of parameter servers",
      )
      parser.add_argument(
          "-c",
          "--cpu_trainers",
          dest="cpu_trainers",
          type=int,
          default=1,
          help="number of CPU trainers",
      )
      parser.add_argument("file", help="model trainning file path")
      parser.add_argument(
          "args", nargs="*", type=str, help="arguments to <file>"
      )
  
file_path: TensorLayer/tensorlayer/cli/train.py
imports: import argparse
  import json
  import multiprocessing
  import os
  import platform
  import re
  import subprocess
  import sys
label_desc: Use image node_id 6 for calling a global function with example usage: build_arg_parser(parser) without return types