);

  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>;

        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),

		{"BenchmarkResult.MemBytes", Field, 1},
		{"BenchmarkResult.N", Field, 0},
		{"BenchmarkResult.T", Field, 0},
		{"Cover", Type, 2},
		{"Cover.Blocks", Field, 2},
		{"Cover.Counters", Field, 2},
		{"Cover.CoveredPackages", Field, 2},
		{"Cover.Mode", Field, 2},
		{"CoverBlock", Type, 2},
		{"CoverBlock.Col0", Field, 2},
		{"CoverBlock.Col1", Field, 2},