code: def test_tcn_forecaster_fit_predict_evaluate(self):
      train_data, _, test_data = create_data()
      self.forecaster.fit(train_data, epochs=2, batch_size=32)
      yhat = self.forecaster.predict(test_data[0], batch_size=32)
      assert yhat.shape == (400, 2, 2)
      mse = self.forecaster.evaluate(
          test_data, batch_size=32, multioutput="raw_values"
      )
      assert mse[0].shape == test_data[1].shape[1:]
  
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, op_inference
label_desc: Use image node_id 3 for calling the TestTCNForecaster obj's underlying member method code with example usage: obj.test_tcn_forecaster_fit_predict_evaluate() without return types