code: def test_openvino_predict_ndarray(self):
      self.load_resnet()
      input_data = np.array([self.input] * 22)
      input_data = np.concatenate(
          [input_data, np.zeros([1, 3, 224, 224])]
      )
      result = self.est.predict(input_data, batch_size=4)
      assert isinstance(result, np.ndarray)
      assert result.shape == (23, 1000)
      assert self.check_result(result, 22)
      assert not self.check_result(result[22:], 1)
  
imports: import os
  import tarfile
  import tempfile
  import shutil
  from unittest import TestCase
  import numpy
  from bigdl.dllib.feature.dataset.base import maybe_download
  from bigdl.dllib.nncontext import init_nncontext
  from bigdl.orca.data import SparkXShards
  from bigdl.orca.learn.openvino import Estimator
label_desc: Use image node_id 7 for calling the TestEstimatorForOpenVINO obj's underlying member method code with example usage: obj.test_openvino_predict_ndarray() without return types