code: def ae(self, model_configs, demo_data):
      model_configs.input_dim = tuple(demo_data[0].shape)
      return VAE_IAF(model_configs)
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.customexception import BadInheritanceError
  from pythae.models import VAE_IAF, AutoModel, VAE_IAF_Config
  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 2 for calling the Test_Model_reconstruct obj's underlying member method code with example usage: obj.ae(model_configs, demo_data) and returns: VAE_IAF