```
  }];

  let arguments = (ins
    Arg<TF_Tensor, [{The tensor to be shuffled.}]>:$value,

    DefaultValuedOptionalAttr<I64Attr, "0">:$seed,
    DefaultValuedOptionalAttr<I64Attr, "0">:$seed2
  );

  let results = (outs
    Res<TF_Tensor, [{A tensor of same shape and type as `value`, shuffled along its first
dimension.}]>:$output
  );

    *   `tf.data.Dataset.zip` now supports Python-style zipping, i.e. `Dataset.zip(a, b, c)`.
    * `tf.data.Dataset.shuffle` now supports `tf.data.UNKNOWN_CARDINALITY` When doing a "full shuffle" using  `dataset = dataset.shuffle(dataset.cardinality())`. But remember, a "full shuffle" will load the full dataset into memory so that it can be shuffled, so make sure to only use this with small datasets or datasets of small objects (like filenames).

*   `tf.math`

		{"(*Rand).Int63n", Method, 0},
		{"(*Rand).Intn", Method, 0},
		{"(*Rand).NormFloat64", Method, 0},
		{"(*Rand).Perm", Method, 0},
		{"(*Rand).Read", Method, 6},
		{"(*Rand).Seed", Method, 0},
		{"(*Rand).Shuffle", Method, 10},
		{"(*Rand).Uint32", Method, 0},
		{"(*Rand).Uint64", Method, 8},
		{"(*Zipf).Uint64", Method, 0},
		{"ExpFloat64", Func, 0},
		{"Float32", Func, 0},
		{"Float64", Func, 0},