code: def test_s2s_forecaster_distributed_illegal_input(self):
      from bigdl.orca import init_orca_context, stop_orca_context
  
      init_orca_context(cores=4, memory="4g")
      forecaster = Seq2SeqForecaster(
          past_seq_len=10,
          future_seq_len=2,
          input_feature_num=2,
          output_feature_num=2,
          loss="mae",
          distributed=True,
      )
  
      train_data, _, test_data = create_data(tf_data=True)
      ts_train, _, ts_test = create_tsdataset(roll=False)
      _, y_test = ts_test.roll(lookback=10, horizon=2).to_numpy()
  
      forecaster.fit(ts_train, epochs=2)
      yhat = forecaster.predict(ts_test)
      assert yhat.shape == y_test.shape
      res = forecaster.evaluate(ts_test)
  
      # illegal input
      with pytest.raises(RuntimeError):
          forecaster.fit(train_data)
      with pytest.raises(RuntimeError):
          forecaster.evaluate(test_data)
      stop_orca_context()
  
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 10 for calling the TestSeq2SeqForecaster obj's underlying member method code with example usage: obj.test_s2s_forecaster_distributed_illegal_input() without return types