code: def test_predict(self):
      model_fn = self.create_model_fn()
      input_fn = self.create_input_fn()
      estimator = TFEstimator.from_model_fn(model_fn)
      results = estimator.predict(input_fn).collect()
  
imports: import pytest
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
  import tensorflow
  from zoo.feature.common import ChainedPreprocessing, FeatureSet
  from zoo.feature.image import *
  from zoo.tfpark import TFDataset, TFEstimator
  from zoo.tfpark import ZooOptimizer
label_desc: Use image node_id 7 for calling the TestTFParkEstimator obj's underlying member method code with example usage: obj.test_predict() without return types