code: def test_build_model(self, model_configs):
      model = RadialFlow(model_configs)
      assert all(
          [
              model.input_dim == np.prod(model_configs.input_dim),
          ]
      )
  
imports: import os
  import shutil
  from copy import deepcopy
  import numpy
  import pytest
  import torch
  from torch.optim import Adam
  from pythae.data.datasets import BaseDataset
  from pythae.models import AutoModel
  from pythae.models.base.base_utils import ModelOutput
  from pythae.models.normalizing_flows import NFModel, RadialFlow, RadialFlowConfig
  from pythae.pipelines import TrainingPipeline
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
label_desc: Use image node_id 1 for calling the Test_Model_Building obj's underlying member method code with example usage: obj.test_build_model(model_configs) without return types