code: def test_lstm_forecaster_fit_tf_data(self):
      train_data, _, test_data = create_data(tf_data=True)
      self.forecaster.fit(train_data, epochs=2, batch_size=32)
      yhat = self.forecaster.predict(test_data)
      assert yhat.shape == (400, 1, 2)
  
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
label_desc: Use image node_id 4 for calling the TestLSTMForecaster obj's underlying member method code with example usage: obj.test_lstm_forecaster_fit_tf_data() without return types