code: def training_configs_learning_rate(self, tmpdir, request):
      request.param.output_dir = tmpdir.mkdir("dummy_folder")
      return request.param
  
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 3 for calling the Test_Build_Optimizer obj's underlying member method code with example usage: obj.training_configs_learning_rate(tmpdir, request) and returns: request