code: def unpack_model(option="svhn"):
      if "mnist_svhn" in args.model:
          return model.vaes[1] if option == "svhn" else model.vaes[0]
      else:
          return model
  
file_path: mmvae/src/report/analyse_ms.py
imports: import argparse
  import os
  import sys
  import torch
  import torch.nn
  import torch.optim
  import inspect
  import models
  from helper import Latent_Classifier, SVHN_Classifier, MNIST_Classifier
  from utils import Logger, Timer
label_desc: Use image node_id 6 for calling a global function with example usage: unpack_model(option) and returns: unknown, model