{"IsLetter", Func, 0},
		{"IsLower", Func, 0},
		{"IsMark", Func, 0},
		{"IsNumber", Func, 0},
		{"IsOneOf", Func, 0},
		{"IsPrint", Func, 0},
		{"IsPunct", Func, 0},
		{"IsSpace", Func, 0},
		{"IsSymbol", Func, 0},
		{"IsTitle", Func, 0},
		{"IsUpper", Func, 0},
		{"Javanese", Var, 0},
		{"Join_Control", Var, 0},
		{"Kaithi", Var, 0},
		{"Kannada", Var, 0},

}

def TF_LinSpaceOp : TF_Op<"LinSpace", [Pure]> {
  let summary = "Generates values in an interval.";

  let description = [{
A sequence of `num` evenly-spaced values are generated beginning at `start`.
If `num > 1`, the values in the sequence increase by
`(stop - start) / (num - 1)`, so that the last one is exactly `stop`.

For example:

```

        dispatches the best kernel implementation based on CPU vector
        architecture. To disable them, build with
        `--define=tensorflow_mkldnn_contraction_kernel=0`.
    *   `tf.linspace(start, stop, num)` now always uses "stop" as last value
        (for num > 1)
    *   Added top-k to precision and recall to keras metrics.
    *   Add a ragged size op and register it to the op dispatcher