code: def optimizer_creator(model, config):
      optimizer = optim.SGD(model.parameters(), lr=0.001, momentum=0.9)
      return optimizer
  
imports: from __future__ import print_function
  import argparse
  import numpy
  import matplotlib.pyplot
  import torch
  import torchvision
  import torchvision.transforms
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torch.utils.tensorboard import SummaryWriter
  from zoo.orca import init_orca_context, stop_orca_context
  from zoo.orca.learn.pytorch import Estimator
  from zoo.orca.learn.metrics import Accuracy
  from zoo.orca.learn.trigger import EveryEpoch
label_desc: Use image node_id 5 for calling a global function with example usage: optimizer_creator(model, config) and returns: optimizer