}

def TF_MakeIteratorOp : TF_Op<"MakeIterator", []> {
  let summary = [{
Makes a new iterator from the given `dataset` and stores it in `iterator`.
  }];

  let description = [{
This operation may be executed multiple times. Each execution will reset the
iterator in `iterator` to the first element of `dataset`.
  }];

  let arguments = (ins
    TF_VariantTensor:$dataset,

- github.com/gorilla/mux: [v1.7.0 → v1.7.3](https://github.com/gorilla/mux/compare/v1.7.0...v1.7.3)
- github.com/json-iterator/go: [v1.1.8 → v1.1.10](https://github.com/json-iterator/go/compare/v1.1.8...v1.1.10)
- github.com/jstemmer/go-junit-report: [af01ea7 → v0.9.1](https://github.com/jstemmer/go-junit-report/compare/af01ea7...v0.9.1)

    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