register a dataset with the tf.data service, and another process to consume
    data from the dataset.
*   Adds support for dispatcher fault tolerance. To enable fault tolerance,
    configure a `work_dir` when running your dispatcher server and set
    `dispatcher_fault_tolerance=True`. The dispatcher will store its state to

}

def TF_ApproximateEqualOp : TF_Op<"ApproximateEqual", [Commutative, Pure]> {
  let summary = "Returns the truth value of abs(x-y) < tolerance element-wise.";

  let arguments = (ins
    TF_NumberTensor:$x,
    TF_NumberTensor:$y,

    DefaultValuedOptionalAttr<F32Attr, "1e-05f">:$tolerance
  );

  let results = (outs
    TF_BoolTensor:$z
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;

		{"Timex.Stabil", Field, 0},
		{"Timex.Status", Field, 0},
		{"Timex.Stbcnt", Field, 0},
		{"Timex.Tai", Field, 0},
		{"Timex.Tick", Field, 0},
		{"Timex.Time", Field, 0},
		{"Timex.Tolerance", Field, 0},
		{"Timezoneinformation", Type, 0},
		{"Timezoneinformation.Bias", Field, 0},
		{"Timezoneinformation.DaylightBias", Field, 0},
		{"Timezoneinformation.DaylightDate", Field, 0},