code: def test_init_tfnet_from_saved_model(self):
      model_path = os.path.join(
          TestTF.resource_path, "saved-model-resource"
      )
      tfnet = TFNet.from_saved_model(
          model_path,
          inputs=["flatten_input:0"],
          outputs=["dense_2/Softmax:0"],
      )
      result = tfnet.predict(
          np.ones(dtype=np.float32, shape=(20, 28, 28, 1))
      )
      result.collect()
  
file_path: BigDL/python/orca/test/bigdl/orca/tfpark/test_tfnet.py
imports: import pytest
  from bigdl.orca.test_zoo_utils import ZooTestCase
  from bigdl.orca.tfpark import TFNet, TFDataset
  from bigdl.dllib.utils.common import *
label_desc: Use image node_id 4 for calling the TestTF obj's underlying member method code with example usage: obj.test_init_tfnet_from_saved_model() without return types