code: def model_sample():
      return Adversarial_AE(
          Adversarial_AE_Config(input_dim=(1, 28, 28))
      )
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.models import Adversarial_AE, Adversarial_AE_Config
  from pythae.trainers import AdversarialTrainer, AdversarialTrainerConfig
  from tests.data.custom_architectures import *
label_desc: Use image node_id 2 for calling a global function with example usage: model_sample() and returns: Adversarial_AE