x,
            min=ops.convert_to_tensor(self._min[0]),
            max=ops.convert_to_tensor(self._max[0]),
            num_bits=8,
            narrow_range=False,
        )
        y = array_ops.fake_quant_with_min_max_vars(
            y,
            min=ops.convert_to_tensor(self._min[1]),
            max=ops.convert_to_tensor(self._max[1]),
            num_bits=8,

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

// -----

// test invalid Sin input
func.func @testSinWithWrongInputType(tensor<?xi32>) -> tensor<?xi32> {
^bb0(%arg0: tensor<?xi32>):
  // expected-error @+1 {{tfl.sin' op operand #0 must be tensor of 32-bit float values}}

    OpBuilder<(ins "Value":$cond, "Value":$x, "Value":$y),
    [{
    BuildSelectV2Op(&$_builder, $_state, cond, x, y);
  }]>];

  let hasOptions = 1;
}

def TFL_SinOp: TFL_Op<"sin", [
    Pure,
    TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Sine operator";

  let description = [{
    Computes element-wise Sine of input
  }];