code: def test_lstm_forecaster_openvino_methods_loader(self):
      train_data, _, test_data = create_data(loader=True)
      forecaster = LSTMForecaster(
          past_seq_len=24,
          input_feature_num=2,
          output_feature_num=2,
          loss="mae",
          lr=0.01,
      )
      forecaster.fit(train_data, epochs=2)
      try:
          pred = forecaster.predict(test_data, acceleration=False)
          pred_openvino = forecaster.predict_with_openvino(test_data)
          np.testing.assert_almost_equal(pred, pred_openvino, decimal=5)
      except ImportError:
          pass
  
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 7 for calling the TestChronosModelLSTMForecaster obj's underlying member method code with example usage: obj.test_lstm_forecaster_openvino_methods_loader() without return types