code: def my_parse_fn(inputs):
      label = tf.string_to_number(inputs.values[0], out_type=tf.float32)
      input_node = tf.string_to_number(
          inputs.values[1], out_type=tf.int64
      )
      label = tf.reshape(label, [-1, 1])
      input_node = tf.reshape(input_node, [-1, 1])
      sample = [label, input_node]
      return sample
  
file_path: euler/examples/sample_solution/sample_solution_model.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from tf_euler.python.solution.base_sample import SuperviseSampleSolution
  from tf_euler.python.mp_utils.base_gnn import BaseGNNNet
  from euler_estimator import SampleEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: my_parse_fn(inputs) and returns: sample