code: def ae(self, model_configs, demo_data):
      model_configs.input_dim = tuple(demo_data[0].shape)
      return AE(model_configs)
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.customexception import BadInheritanceError
  from pythae.models import AE, AEConfig, AutoModel
  from pythae.models.base.base_utils import ModelOutput
  from pythae.pipelines import GenerationPipeline, TrainingPipeline
  from pythae.samplers import GaussianMixtureSamplerConfig, IAFSamplerConfig, MAFSamplerConfig, NormalSamplerConfig
  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_Model_embed obj's underlying member method code with example usage: obj.ae(model_configs, demo_data) and returns: AE