code: def test_lstm_forecaster_ctx_manager(self):
      train_loader, val_loader, test_loader = create_data(loader=True)
      forecaster = LSTMForecaster(
          past_seq_len=24,
          input_feature_num=2,
          output_feature_num=2,
          loss="mse",
          lr=0.01,
      )
      forecaster.fit(train_loader, epochs=1)
      original_thread = torch.get_num_threads()
      assert forecaster.thread_num == original_thread
  
      num = max(1, original_thread // 2)
      with forecaster.get_context(thread_num=num, optimize=True):
          assert forecaster.context_enabled == True
          current_thread = torch.get_num_threads()
          assert current_thread == num
          yhat = forecaster.predict(test_loader)
          yhat = forecaster.predict_with_onnx(test_loader)
          yhat = forecaster.predict_with_openvino(test_loader)
          current_thread = torch.get_num_threads()
          assert current_thread == num
  
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 36 for calling the TestChronosModelLSTMForecaster obj's underlying member method code with example usage: obj.test_lstm_forecaster_ctx_manager() without return types