code: def evaluate(self):
      estimator = tf.estimator.Estimator(
          model_fn=self._model_fn,
          params=self.params,
          config=self.run_config,
          model_dir=self.params["model_dir"],
      )
      run_steps = None
      if self.evaluate_stop_onetime:
          run_steps = 1
      estimator.evaluate(
          input_fn=self.evaluate_input_fn, steps=run_steps
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import json
  import numpy
  import tensorflow
  import tf_euler
label_desc: Use image node_id 12 for calling the BaseEstimator obj's underlying member method code with example usage: obj.evaluate() without return types