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 pydantic import ValidationError
  from pythae.customexception import BadInheritanceError
  from pythae.models import VQVAE, AutoModel, VQVAEConfig
  from pythae.models.base.base_utils import ModelOutput
  from pythae.models.vq_vae.vq_vae_utils import Quantizer, QuantizerEMA
  from pythae.pipelines import GenerationPipeline, TrainingPipeline
  from pythae.samplers import PixelCNNSamplerConfig
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
  from tests.data.custom_architectures import Decoder_AE_Conv, Encoder_AE_Conv, NetBadInheritance
label_desc: Use image node_id 2 for calling the Test_VQVAETraining obj's underlying member method code with example usage: obj.training_configs(tmpdir, request) and returns: request