code: def test_seq2seq_fit_predict_evaluate(self):
      train_data, test_data = create_data()
      model = model_creator(
          config={
              "input_feature_num": 10,
              "output_feature_num": 2,
              "future_seq_len": test_data[-1].shape[1],
              "lstm_hidden_dim": 32,
          }
      )
  
      model.fit(
          train_data[0],
          train_data[1],
          epochs=2,
          validation_data=test_data,
      )
      yhat = model.predict(test_data[0])
      model.evaluate(test_data[0], test_data[1])
      assert yhat.shape == (400, train_data[-1].shape[1], 2)
  
file_path: BigDL/python/chronos/test/bigdl/chronos/model/tf2/test_Seq2Seq_keras.py
imports: import tempfile
  import pytest
  from unittest import TestCase
  import numpy
  from ...None import op_tf2
  from bigdl.chronos.utils import LazyImport
label_desc: Use image node_id 3 for calling the TestSeq2Seq obj's underlying member method code with example usage: obj.test_seq2seq_fit_predict_evaluate() without return types