code: def ae_model(self):
      return MIWAE(
          MIWAEConfig(
              input_dim=(1, 28, 28),
              latent_dim=7,
              number_gradient_estimates=2,
          )
      )
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.customexception import BadInheritanceError
  from pythae.models import MIWAE, AutoModel, MIWAEConfig
  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_MIWAE_Generation obj's underlying member method code with example usage: obj.ae_model() and returns: MIWAE