code: def hvae(self, model_configs, demo_data):
      model_configs.input_dim = tuple(demo_data["data"][0].shape)
      return HVAE(model_configs)
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.customexception import BadInheritanceError
  from pythae.models import HVAE, AutoModel, HVAEConfig
  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_NLL_Compute obj's underlying member method code with example usage: obj.hvae(model_configs, demo_data) and returns: HVAE