code: def test_openvino_predict_ndarray_multi_input(self):
      self.load_roberta()
      input_data = [np.zeros([32, 128])] * 3
      result = self.est.predict(input_data, batch_size=5)
      assert isinstance(result, np.ndarray)
      assert result.shape == (32, 2)
  
imports: import os
  import shutil
  import tarfile
  from unittest import TestCase
  import numpy
  from bigdl.dataset.base import maybe_download
  from zoo import init_nncontext
  from zoo.orca.data import SparkXShards
  from zoo.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_multi_input() without return types