code: def bad_multi_examples_per_input_estimator_misaligned_input_refs(
      export_path, eval_export_path
  ):
      """Like the above (good) estimator, but the input_refs is misaligned."""
      estimator = tf_estimator.Estimator(model_fn=_model_fn)
      estimator.train(input_fn=_train_input_fn, steps=1)
  
      return util.export_model_and_eval_model(
          estimator=estimator,
          serving_input_receiver_fn=_serving_input_receiver_fn,
          eval_input_receiver_fn=_bad_eval_input_receiver_fn_misaligned_input_refs,
          export_path=export_path,
          eval_export_path=eval_export_path,
      )
  
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 13 for calling a global function with example usage: bad_multi_examples_per_input_estimator_misaligned_input_refs(export_path, eval_export_path) and returns: util