code: def get_symbol_embedding():
      embedding = eval(config.net_name).get_symbol()
      all_label = mx.symbol.Variable("softmax_label")
      # embedding = mx.symbol.BlockGrad(embedding)
      all_label = mx.symbol.BlockGrad(all_label)
      out_list = [embedding, all_label]
      out = mx.symbol.Group(out_list)
      return out
  
imports: import os
  import sys
  import math
  import random
  import logging
  import pickle
  import sklearn
  import numpy
  from image_iter import FaceImageIter
  import mxnet
  from mxnet import ndarray
  import argparse
  import mxnet.optimizer
  from config import config, default, generate_config
  import verification
  import fresnet
  import fmobilefacenet
  import fmobilenet
  import fmnasnet
  import fdensenet
  import vargfacenet
label_desc: Use image node_id 2 for calling a global function with example usage: get_symbol_embedding() and returns: out