import tensorflow as tf

    The same batch where cutout has been applied to the images.
  """
  length, replace = FLAGS.cutout_length, 0.0
  images, labels = batch['image'], batch['label']
  num_channels = tf.shape(images)[3]
  image_height, image_width = tf.shape(images)[1], tf.shape(images)[2]

  cutout_center_height = tf.random.uniform(
      shape=[], minval=0, maxval=image_height,
      dtype=tf.int32)
  cutout_center_width = tf.random.uniform(
      shape=[], minval=0, maxval=image_width,
      dtype=tf.int32)

