code: def get_train_from_input(self, inputs, params):
      result = tf_euler.sample_node(inputs, params["train_node_type"])
      result.set_shape([self.params["batch_size"]])
      return result
  
file_path: euler/euler_estimator/python/gae_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 2 for calling the GaeEstimator obj's underlying member method code with example usage: obj.get_train_from_input(inputs, params) and returns: result