}

def TF_OneShotIteratorOp : TF_Op<"OneShotIterator", []> {
  let summary = [{
Makes a "one-shot" iterator that can be iterated only once.
  }];

  let description = [{
A one-shot iterator bundles the logic for defining the dataset and
the state of the iterator in a single op, which allows simple input
pipelines to be defined without an additional initialization
("MakeIterator") step.

    been changed. It now returns a function that can be used as an argument to
    `Dataset.apply()`.
*   Remove `tf.contrib.data.Iterator.from_dataset()` method. Use
    `Dataset.make_initializable_iterator()` instead.
*   Remove seldom used and unnecessary `tf.contrib.data.Iterator.dispose_op()`.
*   Reorder some TF-GAN loss functions in a non-backwards compatible way.

## Known Issues

            "items": {
              "default": "",
              "type": "string"
            },
            "type": "array",