{"MinInt8", Const, 0},
		{"Mod", Func, 0},
		{"Modf", Func, 0},
		{"NaN", Func, 0},
		{"Nextafter", Func, 0},
		{"Nextafter32", Func, 4},
		{"Phi", Const, 0},
		{"Pi", Const, 0},
		{"Pow", Func, 0},
		{"Pow10", Func, 0},
		{"Remainder", Func, 0},
		{"Round", Func, 10},
		{"RoundToEven", Func, 10},
		{"Signbit", Func, 0},
		{"Sin", Func, 0},
		{"Sincos", Func, 0},
		{"Sinh", Func, 0},

    TF_IntTensor:$x
  );

  let results = (outs
    TF_Uint8Tensor:$y
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_PowOp : TF_Op<"Pow", [Pure, ResultsBroadcastableShape, TF_SameOperandsAndResultElementTypeResolveRef]>,
               WithBroadcastableBinOpBuilder {
  let summary = "Computes the power of one value to another.";

  let description = [{

    *   gRPC: Propagate truncated errors (instead of returning gRPC internal
        error).
    *   Augment `parallel_interleave` to support 2 kinds of prefetching.
    *   Improved XLA support for C64-related ops log, pow, atan2, tanh.
    *   Add probabilistic convolutional layers.

## API Changes

*   Introducing `prepare_variance` boolean with default setting to False for
    backward compatibility.