code: def get_from_gluon(model_name, classes=1000, logger=None):
      dir_path = os.path.dirname(os.path.realpath(__file__))
      model_path = os.path.join(dir_path, "model")
      if logger is not None:
          logger.info(
              f"Converting model from Gluon-CV ModelZoo {model_name}... into path {model_path}"
          )
      net = get_model(name=model_name, classes=classes, pretrained=True)
      prefix = os.path.join(model_path, model_name)
      return net, prefix
  
file_path: mxnet/example/quantization/imagenet_gen_qsym_onednn.py
imports: import argparse
  import logging
  import os
  import re
  import sys
  from inspect import currentframe, getframeinfo
  import mxnet
  from mxnet import gluon
  from mxnet.contrib.quantization import quantize_net
  from mxnet.gluon.data import DataLoader
  from mxnet.gluon.data.vision import transforms
  from mxnet.gluon.model_zoo.vision import get_model
  from tools.rec2idx import IndexCreator
label_desc: Use image node_id 2 for calling a global function with example usage: get_from_gluon(model_name, classes, logger) and returns: net,  prefix