code: def training_config(self, tmpdir):
      tmpdir.mkdir("dummy_folder")
      dir_path = os.path.join(tmpdir, "dummy_folder")
      return BaseTrainerConfig(output_dir=dir_path, num_epochs=2)
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.customexception import ModelError
  from pythae.models import AE, RHVAE, VAE, AEConfig, RHVAEConfig, VAEConfig
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
  from tests.data.custom_architectures import *
label_desc: Use image node_id 1 for calling the Test_Logging obj's underlying member method code with example usage: obj.training_config(tmpdir) and returns: BaseTrainerConfig