code: def test_predict_step(self, trainer):
      _ = deepcopy(trainer.model.state_dict())
  
      true_data, recon, gene = trainer.predict(trainer.model)
  
      assert (
          true_data.reshape(3, -1).shape == recon.reshape(3, -1).shape
      )
      assert (
          gene.reshape(3, -1).shape[1:]
          == true_data.reshape(3, -1).shape[1:]
      )
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.customexception import ModelError
  from pythae.models import AE, RHVAE, VAE, AEConfig, RHVAEConfig, VAEConfig
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
  from tests.data.custom_architectures import *
label_desc: Use image node_id 11 for calling the Test_Main_Training obj's underlying member method code with example usage: obj.test_predict_step(trainer) without return types