class_docstr: Contains benchmarks to run
class_docstr_tok: ["Contains","benchmarks","to","run"]
docstr: Performs a simple single benchmark that measures the model throughput on inference tasks
  by using batch processing at TorchServe
docstr_tok: ["Performs","a","simple","single","benchmark","that","measures","the","model","throughput","on","inference","tasks","by","using","batch","processing","at","TorchServe"]
code: def throughput_batch():
      """
      Performs a simple single benchmark that measures the model throughput on inference tasks
      by using batch processing at TorchServe
      """
      plan, jmeter_args = parseModel()
      return run_single_benchmark(plan, jmeter_args)
  
imports: import argparse
  import itertools
  import multiprocessing
  import os
  import pprint
  import shutil
  import subprocess
  import sys
  import time
  import traceback
  from functools import reduce
  from urllib.request import urlretrieve
  import tempfile
  import platform
  import pandas
label_desc: Use image node_id 2 for calling the Benchmarks obj's underlying member method code with example usage: obj.throughput_batch() and returns: run_single_benchmark