code: def test_tf_net_predict(self):
      tfnet_path = os.path.join(TestTF.resource_path, "tfnet")
      import tensorflow as tf
  
      tf_session_config = tf.ConfigProto(
          inter_op_parallelism_threads=1, intra_op_parallelism_threads=1
      )
      net = TFNet.from_export_folder(
          tfnet_path, tf_session_config=tf_session_config
      )
      output = net.predict(
          np.random.rand(16, 4), batch_per_thread=5, distributed=False
      )
      assert output.shape == (16, 2)
  
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 5 for calling the TestTF obj's underlying member method code with example usage: obj.test_tf_net_predict() without return types