code: def test_s2s_predict_save_restore(self):
      model = Seq2SeqPytorch()
      config = {"batch_size": 128}
      model.fit_eval(
          (self.train_data[0], self.train_data[1]),
          self.val_data,
          metric="mse",
          **config,
      )
      pred = model.predict(self.test_data[0])
      assert pred.shape == self.test_data[1].shape
      with tempfile.TemporaryDirectory() as tmp_dir_name:
          ckpt_name = os.path.join(tmp_dir_name, "ckpt")
          model.save(ckpt_name)
          model_1 = Seq2SeqPytorch()
          model_1.restore(ckpt_name)
          pred_1 = model_1.predict(self.test_data[0])
          assert np.allclose(pred, pred_1)
  
file_path: analytics-zoo/pyzoo/test/zoo/chronos/model/test_Seq2Seq_pytorch.py
imports: from unittest import TestCase
  from zoo.chronos.model.Seq2Seq_pytorch import Seq2SeqPytorch
  import numpy
  import tempfile
  import os
  import random
label_desc: Use image node_id 3 for calling the TestSeq2SeqPytorch obj's underlying member method code with example usage: obj.test_s2s_predict_save_restore() without return types