code: def test_predict_evaluation(self):
      auto_seq2seq = get_auto_estimator()
      auto_seq2seq.fit(
          data=train_dataloader_creator(config={"batch_size": 64}),
          epochs=1,
          validation_data=valid_dataloader_creator(
              config={"batch_size": 64}
          ),
          n_sampling=1,
      )
      test_data_x, test_data_y = get_x_y(size=100)
      auto_seq2seq.predict(test_data_x)
      auto_seq2seq.evaluate((test_data_x, test_data_y))
  
imports: from bigdl.chronos.utils import LazyImport
  import numpy
  from unittest import TestCase
  import pytest
  import tempfile
  from ...None import op_torch, op_tf2, op_distributed, op_inference
label_desc: Use image node_id 6 for calling the TestAutoSeq2Seq obj's underlying member method code with example usage: obj.test_predict_evaluation() without return types