code: def optimizer_program():
      return fluid.optimizer.Adam(learning_rate=0.001)
  
file_path: AdvBox/tutorials/cifar10_model.py
imports: from __future__ import print_function
  from __future__ import absolute_import
  import paddle
  import paddle.fluid
  import numpy
  import sys
  import os
  from .image_classification.resnet import resnet_cifar10
label_desc: Use image node_id 3 for calling a global function with example usage: optimizer_program() and returns: fluid