code: def made(self, model_configs, demo_data):
      model_configs.input_dim = tuple(demo_data["data"][0].shape)
      model_configs.output_dim = tuple(demo_data["data"][0].shape)
      return MADE(model_configs)
  
file_path: benchmark_VAE/tests/test_MADE.py
imports: import os
  import numpy
  import pytest
  import torch
  from pythae.models import AutoModel
  from pythae.models.base.base_utils import ModelOutput
  from pythae.models.normalizing_flows import MADE, MADEConfig
label_desc: Use image node_id 2 for calling the Test_Model_forward obj's underlying member method code with example usage: obj.made(model_configs, demo_data) and returns: MADE