code: def trainer(self, ciwae, train_dataset, training_configs):
      trainer = BaseTrainer(
          model=ciwae,
          train_dataset=train_dataset,
          eval_dataset=train_dataset,
          training_config=training_configs,
      )
  
      trainer.prepare_training()
  
      return trainer
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pydantic import ValidationError
  from pythae.customexception import BadInheritanceError
  from pythae.models import CIWAE, AutoModel, CIWAEConfig
  from pythae.models.base.base_utils import ModelOutput
  from pythae.pipelines import GenerationPipeline, TrainingPipeline
  from pythae.samplers import GaussianMixtureSamplerConfig, IAFSamplerConfig, MAFSamplerConfig, NormalSamplerConfig, TwoStageVAESamplerConfig
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
  from tests.data.custom_architectures import Decoder_AE_Conv, Encoder_VAE_Conv, NetBadInheritance
label_desc: Use image node_id 4 for calling the Test_CIWAE_Training obj's underlying member method code with example usage: obj.trainer(ciwae, train_dataset, training_configs) and returns: trainer