code: def test_seq2seq_save_load(self):
      train_data, _, test_data = create_data()
      self.forecaster.fit(train_data, epochs=2, batch_size=32)
      yhat = self.forecaster.predict(test_data[0])
      with tempfile.TemporaryDirectory() as tmp_dir_file:
          tmp_dir_file = os.path.join(tmp_dir_file, "seq2seq.ckpt")
          self.forecaster.save(tmp_dir_file)
          self.forecaster.load(tmp_dir_file)
          from bigdl.chronos.model.tf2.Seq2Seq_keras import LSTMSeq2Seq
  
          assert isinstance(self.forecaster.internal, LSTMSeq2Seq)
      load_model_yhat = self.forecaster.predict(test_data[0])
      assert yhat.shape == (400, 2, 2)
      np.testing.assert_almost_equal(yhat, load_model_yhat, decimal=5)
  
imports: import pytest
  import tempfile
  import os
  from unittest import TestCase
  import numpy
  from bigdl.chronos.utils import LazyImport
  from test.bigdl.chronos import op_tf2, op_distributed
label_desc: Use image node_id 6 for calling the TestSeq2SeqForecaster obj's underlying member method code with example usage: obj.test_seq2seq_save_load() without return types