class_docstr: Benchmarks is a simple but feature-complete benchmarking script
  to compare memory and time performance of models in Transformers.
code: def workloads(self):
      return self._workloads
  
imports: import copy
  import csv
  import linecache
  import logging
  import os
  import platform
  import sys
  import timeit
  import numpy
  import gluonnlp
  from gluonnlp.models import get_backbone
  from gluonnlp.utils.misc import logging_config
  from gluonnlp.utils.lazy_imports import try_import_tvm
  from collections import defaultdict, namedtuple
  from datetime import datetime
  import multiprocessing
  from multiprocessing import Pipe, Process, Queue
  from multiprocessing.connection import Connection
  from typing import Callable, Iterable, List, NamedTuple, Optional, Union, Tuple
label_desc: Use image node_id 3 for calling the GluonNLPBackboneBenchmark obj's underlying member method code with example usage: obj.workloads() and returns: self