code: def get_parser():
      parser = argparse.ArgumentParser(
          description="Process some integers."
      )
      parser.add_argument(
          "--layout",
          type=str,
          default="NT",
          help="The layout of the computation",
      )
      parser.add_argument(
          "--compute_layout",
          type=str,
          default=None,
          help="The compute layout of the computation",
      )
      parser.add_argument(
          "--use_tvm",
          action="store_true",
          help="Whether to use TVM for inference/training",
      )
      parser.add_argument(
          "--instance_type",
          choices=["c4", "c5", "g4", "p3"],
          default="g4",
          help="The instance type that the profiling script will be run on.",
      )
      parser.add_argument("--use_fp16", action="store_true")
      parser.add_argument(
          "--mode",
          type=str,
          default="train",
          choices=["train", "inference"],
      )
      return parser
  
file_path: gluon-nlp/scripts/benchmarks/benchmark_gluonnlp.py
imports: import mxnet
  import argparse
  import os
  import pandas
  from benchmark_utils import GluonNLPBackboneBenchmark
  import multiprocessing
  from multiprocessing import Process
label_desc: Use image node_id 1 for calling a global function with example usage: get_parser() and returns: parser