didn't have the keys sorted, the keys and values were not being printed
        in accordance with their correct mapping.
*   `tf.train.Checkpoint`:
    *   Now accepts a `root` argument in the initialization, which generates a
        checkpoint with a root object. This allows users to create a
        `Checkpoint` object that is compatible with Keras `model.save_weights()`

      return ArraysAreCastCompatible(inferred, actual);
    }
  }];
}

def TF_RsqrtOp : TF_Op<"Rsqrt", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Computes reciprocal of square root of x element-wise.";

  let description = [{
I.e., \\(y = 1 / \sqrt{x}\\).
  }];

  let arguments = (ins
    TF_FpOrComplexTensor:$x
  );

  let results = (outs