code: def test_lstm_forecaster_quantization_openvino(self):
      train_data, val_data, test_data = create_data()
      forecaster = LSTMForecaster(
          past_seq_len=24,
          input_feature_num=2,
          output_feature_num=2,
          loss="mae",
          lr=0.01,
      )
      forecaster.fit(train_data, epochs=1)
      forecaster.quantize(
          train_data, metric="mae", framework="openvino"
      )
      pred_q = forecaster.predict_with_openvino(
          test_data[0], quantize=True
      )
  
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 40 for calling the TestChronosModelLSTMForecaster obj's underlying member method code with example usage: obj.test_lstm_forecaster_quantization_openvino() without return types