`tf.sparse.cross`/`tf.ragged.cross` directly.
    *   Added additional `standardize` and `split` modes to `TextVectorization`:
        *   `standardize="lower"` will lowercase inputs.
        *   `standardize="string_punctuation"` will remove all punctuation.
        *   `split="character"` will split on every unicode character.
    *   Added an `output_mode` argument to the `Discretization` and `Hashing`

  let hasVerifier = 1;
}

def TF_SplitVOp : TF_Op<"SplitV", [Pure]> {
  let summary = "Splits a tensor into `num_split` tensors along one dimension.";

  let arguments = (ins
    Arg<TF_Tensor, [{The tensor to split.}]>:$value,
    Arg<TensorOf<[TF_Int32, TF_Int64, TF_Int8]>, [{list containing the sizes of each output tensor along the split
dimension. Must sum to the dimension of value along split_dim.

		{"NewReader", Func, 0},
		{"Reader", Type, 0},
		{"Repeat", Func, 0},
		{"Replace", Func, 0},
		{"ReplaceAll", Func, 12},
		{"Runes", Func, 0},
		{"Split", Func, 0},
		{"SplitAfter", Func, 0},
		{"SplitAfterN", Func, 0},
		{"SplitN", Func, 0},
		{"Title", Func, 0},
		{"ToLower", Func, 0},
		{"ToLowerSpecial", Func, 0},
		{"ToTitle", Func, 0},
		{"ToTitleSpecial", Func, 0},
		{"ToUpper", Func, 0},

                                            matches full path elements. A path element refers to the list of labels
                                            in the path split by the `/` separator. When specified, a trailing `/` is
                                            ignored. For example, the paths `/abc`, `/abc/`, and `/abc/def` would all