code: def _serving_input_receiver_fn():
      """Serving input receiver function."""
      csv_row = tf.compat.v1.placeholder(
          dtype=tf.string, shape=[None], name="input_csv_row"
      )
      features = _parse_csv(csv_row)
      receiver_tensors = {"examples": csv_row}
      return tf_estimator.export.ServingInputReceiver(
          features=features, receiver_tensors=receiver_tensors
      )
  
file_path: model-analysis/tensorflow_model_analysis/eval_saved_model/example_trainers/fake_multi_examples_per_input_estimator.py
imports: import tensorflow
  from tensorflow import estimator
  from tensorflow_model_analysis.eval_saved_model import export
  from tensorflow_model_analysis.eval_saved_model.example_trainers import util
  from tensorflow.python.estimator.canned import metric_keys
label_desc: Use image node_id 8 for calling a global function with example usage: _serving_input_receiver_fn() and returns: tf_estimator