code: def training_configs(self, tmpdir, request):
      tmpdir.mkdir("dummy_folder")
      dir_path = os.path.join(tmpdir, "dummy_folder")
      request.param.output_dir = dir_path
      return request.param
  
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 1 for calling the Test_Main_Training obj's underlying member method code with example usage: obj.training_configs(tmpdir, request) and returns: request