code: def test_reconstruct(self, ae, demo_data):
      recon = ae.reconstruct(demo_data)
      assert tuple(recon.shape) == demo_data.shape
  
imports: import os
  from copy import deepcopy
  import numpy
  import pytest
  import torch
  from pythae.customexception import BadInheritanceError
  from pythae.models import VAEGAN, AutoModel, VAEGANConfig
  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 BaseTrainerConfig, CoupledOptimizerAdversarialTrainer, CoupledOptimizerAdversarialTrainerConfig
  from tests.data.custom_architectures import Decoder_AE_Conv, Discriminator_MLP_Custom, Encoder_VAE_Conv, NetBadInheritance
label_desc: Use image node_id 3 for calling the Test_Model_reconstruct obj's underlying member method code with example usage: obj.test_reconstruct(ae, demo_data) without return types