code: def softmax_regression(img, label):
      return loss_net(img, label)
  
file_path: AdvBox/DataPoison/poison_mnist_paddle.py
imports: from __future__ import print_function
  from builtins import range
  import os
  import argparse
  from PIL import Image
  import numpy
  import paddle
  import paddle.fluid
label_desc: Use image node_id 4 for calling a global function with example usage: softmax_regression(img, label) and returns: loss_net