code: def test_load_openvino(self):
      local_path = self.create_temp_dir()
      model = InferenceModel(1)
      model_url = (
          data_url
          + "/analytics-zoo-models/openvino/2018_R5/resnet_v1_50.xml"
      )
      weight_url = (
          data_url
          + "/analytics-zoo-models/openvino/2018_R5/resnet_v1_50.bin"
      )
      model_path = maybe_download(
          "resnet_v1_50.xml", local_path, model_url
      )
      weight_path = maybe_download(
          "resnet_v1_50.bin", local_path, weight_url
      )
      model.load_openvino(model_path, weight_path)
      input_data = np.random.random([4, 1, 224, 224, 3])
      model.predict(input_data)
  
file_path: BigDL/python/orca/test/bigdl/orca/inference/test_inference_model.py
imports: import os
  import pytest
  import numpy
  from bigdl.dllib.feature.dataset.base import maybe_download
  from bigdl.orca.test_zoo_utils import ZooTestCase
  from bigdl.orca.inference import InferenceModel
  import tarfile
label_desc: Use image node_id 3 for calling the TestInferenceModel obj's underlying member method code with example usage: obj.test_load_openvino() without return types