code: def model_sample(self):
      return RAE_L2(RAE_L2_Config(input_dim=(1, 28, 28)))
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.models import RAE_L2, RAE_L2_Config
  from pythae.trainers import CoupledOptimizerTrainer, CoupledOptimizerTrainerConfig
  from tests.data.custom_architectures import *
label_desc: Use image node_id 2 for calling the Test_Logging obj's underlying member method code with example usage: obj.model_sample() and returns: RAE_L2