code: def test_tcn_forecaster_fit_eva_pred(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_loss = forecaster.fit(train_data, epochs=2)
      test_pred = forecaster.predict(test_data[0])
      assert test_pred.shape == test_data[1].shape
      test_mse = forecaster.evaluate(test_data)
  
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 3 for calling the TestChronosModelTCNForecaster obj's underlying member method code with example usage: obj.test_tcn_forecaster_fit_eva_pred() without return types