code: def test_lstm_forecaster_shape_error(self):
      train_data, val_data, test_data = create_data()
      forecaster = LSTMForecaster(
          past_seq_len=24,
          input_feature_num=2,
          output_feature_num=1,
          loss="mae",
          lr=0.01,
      )
      with pytest.raises(RuntimeError):
          forecaster.fit(train_data, epochs=2)
  
imports: import numpy
  import tempfile
  import os
  from bigdl.chronos.utils import LazyImport
  from unittest import TestCase
  import pytest
  from ..None import op_torch, op_distributed, op_inference, op_automl
label_desc: Use image node_id 15 for calling the TestChronosModelLSTMForecaster obj's underlying member method code with example usage: obj.test_lstm_forecaster_shape_error() without return types