code: def test_tcn_forecaster_save_load(self):
      train_data, val_data, test_data = create_data()
      forecaster = Seq2SeqForecaster(
          past_seq_len=24,
          future_seq_len=5,
          input_feature_num=1,
          output_feature_num=1,
          loss="mae",
          lr=0.01,
      )
      train_mse = forecaster.fit(train_data, epochs=2)
      with tempfile.TemporaryDirectory() as tmp_dir_name:
          ckpt_name = os.path.join(tmp_dir_name, "ckpt")
          test_pred_save = forecaster.predict(test_data[0])
          forecaster.save(ckpt_name)
          forecaster.load(ckpt_name)
          test_pred_load = forecaster.predict(test_data[0])
      np.testing.assert_almost_equal(test_pred_save, test_pred_load)
  
file_path: analytics-zoo/pyzoo/test/zoo/chronos/forecaster/test_seq2seq_forecaster.py
imports: import numpy
  import tempfile
  import os
  import torch
  from zoo.chronos.forecaster.seq2seq_forecaster import Seq2SeqForecaster
  from zoo.orca import init_orca_context, stop_orca_context
  from unittest import TestCase
  import pytest
label_desc: Use image node_id 5 for calling the TestChronosModelTCNForecaster obj's underlying member method code with example usage: obj.test_tcn_forecaster_save_load() without return types