code: def custom_encoder(self, ae_config):
      return Encoder_VAE_MLP_Custom(ae_config)
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.models import VAEGAN, VAEGANConfig
  from pythae.trainers import CoupledOptimizerAdversarialTrainer, CoupledOptimizerAdversarialTrainerConfig
  from tests.data.custom_architectures import *
label_desc: Use image node_id 3 for calling the Test_Main_Training obj's underlying member method code with example usage: obj.custom_encoder(ae_config) and returns: Encoder_VAE_MLP_Custom