code: def get_input_from_id_file(self):
      dataset = tf.data.TextLineDataset(self.params["id_file"])
      dataset = dataset.map(
          lambda id_str: tf.string_to_number(id_str, out_type=tf.int64)
      )
      dataset = dataset.batch(self.params["batch_size"])
      source = dataset.make_one_shot_iterator().get_next()
      return source
  
file_path: euler/euler_estimator/python/node_estimator.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from euler_estimator.python.base_estimator import BaseEstimator
label_desc: Use image node_id 4 for calling the NodeEstimator obj's underlying member method code with example usage: obj.get_input_from_id_file() and returns: source