code: def test_tf_net_predict_dataset(self):
      tfnet_path = os.path.join(TestTF.resource_path, "tfnet")
      net = TFNet.from_export_folder(tfnet_path)
      dataset = TFDataset.from_ndarrays((np.random.rand(16, 4),))
      output = net.predict(dataset)
      output = np.stack(output.collect())
      assert output.shape == (16, 2)
  
file_path: analytics-zoo/pyzoo/test/zoo/tfpark/test_tfnet.py
imports: import pytest
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
  from zoo.tfpark import TFNet, TFDataset
  from bigdl.util.common import *
label_desc: Use image node_id 6 for calling the TestTF obj's underlying member method code with example usage: obj.test_tf_net_predict_dataset() without return types