%1 = "tf.Div"(%arg0, %0) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<8x16xf32>, tensor<8x16xf32>) -> tensor<8x16xf32>
  func.return %1: tensor<8x16xf32>

// CHECK: %0 = "tf.Rsqrt"(%arg1) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<8x16xf32>) -> tensor<8x16xf32>

^bb0(%arg0: tensor<? x f32>):
  // CHECK: "tfl.rsqrt"(%arg0)
  %0 = "tfl.rsqrt"(%arg0): (tensor<? x f32>) -> tensor<? x f32>
  func.return %0 : tensor<? x f32>
}

// CHECK-LABEL: testRsqrtQuant
func.func @testRsqrtQuant(%arg0: tensor<1x80x1x!quant.uniform<i8:f32, 0.048358432948589325:-128>>) -> tensor<1x80x1x!quant.uniform<i8:f32, 0.0066055487841367722:-128>> {

  );

  let results = (outs
    TFL_TensorOf<[F32, I32, I64, QI16, QUI8, TFL_Quint8]>:$output
  );

  let hasOptions = 1;
}

def TFL_RsqrtOp: TFL_Op<"rsqrt", [Pure,
                                  QuantizableResult,
                                  TFL_SameFirstOperandAndFirstResultElementType,
                                  SameOperandsAndResultShape]> {