code: def test_load_bigdl(self):
      model = InferenceModel(3)
      model.load_bigdl(
          os.path.join(resource_path, "models/bigdl/bigdl_lenet.model")
      )
      input_data = np.random.random([4, 28, 28, 1])
      output_data = model.predict(input_data)
  
file_path: analytics-zoo/pyzoo/test/zoo/pipeline/inference/test_inference_model.py
imports: import os
  import pytest
  import numpy
  from bigdl.dataset.base import maybe_download
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
  from zoo.pipeline.inference import InferenceModel
  import tarfile
label_desc: Use image node_id 1 for calling the TestInferenceModel obj's underlying member method code with example usage: obj.test_load_bigdl() without return types