);

  let results = (outs
    Res<TF_Uint64Tensor, [{Key for the counter-based RNG algorithm (shape uint64[1]).}]>:$key,
    Res<TF_Uint64Tensor, [{Counter for the counter-based RNG algorithm. Since counter size is algorithm-dependent, this output will be right-padded with zeros to reach shape uint64[2] (the current maximal counter size among algorithms).}]>:$counter
  );

  TF_DerivedOperandTypeAttr Tseed = TF_DerivedOperandTypeAttr<0>;

round:#007bff}.pace-barber-shop-primary .pace .pace-activity{background-image:linear-gradient(45deg,rgba(255,255,255,.2) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.2) 50%,rgba(255,255,255,.2) 75%,transparent 75%,transparent)}.pace-big-counter-primary .pace .pace-progress::after{color:rgba(0,123,255,.2)}.pace-bounce-primary .pace .pace-activity{background:#007bff}.pace-center-atom-primary .pace-progress{height:100px;width:80px}.pace-center-atom-primary .pace-progress::before{background...

        a new API for creating `Dataset`s from lists of elements.
    *   Graduated experimental APIs:
        *   [`tf.data.Dataset.counter`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#counter),
            which creates `Dataset`s of indefinite sequences of numbers.
        *   [`tf.data.Dataset.ignore_errors`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ignore_errors),