def TF_RsqrtGradOp : TF_Op<"RsqrtGrad", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Computes the gradient for the rsqrt of `x` wrt its input.";

  let description = [{
Specifically, `grad = dy * -0.5 * y^3`, where `y = rsqrt(x)`, and `dy`
is the corresponding input gradient.
  }];

  let arguments = (ins
    TF_FpOrComplexTensor:$y,
    TF_FpOrComplexTensor:$dy
  );

        *   `tf.unsortedsegmentsum` op is supported.
    *   Updates to existing operations:
        *   `tfl.scatter_nd` now supports I1 for the `update` arg.
    *   Upgrade Flatbuffers v2.0.5 from v1.12.0

*   `tf.keras`:

    *   `EinsumDense` layer is moved from experimental to core. Its import path
        is moved from `tf.keras.layers.experimental.EinsumDense` to