code: def test_model_fn_predict(self, problem, input_shape, hparams):
      instance = self._create_phoenix_instance(problem, input_shape)
      features = {
          "zeros": tf.zeros(input_shape),
          "lengths": tf.ones([20]),
      }
      run_config = tf.estimator.RunConfig(
          model_dir=self.get_temp_dir() + "/1"
      )
  
      model_fn = instance._make_model_fn(run_config, train_steps=100)
      spec = model_fn(
          features, None, tf.estimator.ModeKeys.PREDICT, hparams
      )
  
      self.assertIsNone(spec.loss)
      self.assertNotEqual(spec.predictions, None)
  
imports: import os
  from absl import flags
  from absl.testing import parameterized
  from model_search import hparam
  from model_search import loss_fns
  from model_search import phoenix
  from model_search.architecture import architecture_utils
  from model_search.metadata import mock_metadata
  from model_search.proto import phoenix_spec_pb2
  import numpy
  import tensorflow.compat.v2
  from google.protobuf import text_format
label_desc: Use image node_id 6 for calling the PhoenixTest obj's underlying member method code with example usage: obj.test_model_fn_predict(problem, input_shape, hparams) without return types