code: def input_fn(self):
      types = {"inputs": tf.int32}
      shapes = {"inputs": tf.TensorShape([None])}
      dataset = tf.data.Dataset.from_generator(
          self.input_generator, types, shapes
      )
      dataset = dataset.padded_batch(self.BATCH_SIZE, shapes)
      dataset = dataset.map(data_reader.standardize_shapes)
      features = dataset.make_one_shot_iterator().get_next()
      return features
  
file_path: tensor2tensor/tensor2tensor/utils/checkpoint_compatibility_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import numpy
  from six.moves import range
  from tensor2tensor import models
  from tensor2tensor import problems
  from tensor2tensor.utils import data_reader
  from tensor2tensor.utils import trainer_lib
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the CheckpointCompatibilityTest obj's underlying member method code with example usage: obj.input_fn() and returns: features