y = Lgamma(scope_, x);
        break;
      case ERF:
        y = Erf(scope_, x);
        break;
      case ERFINV:
        y = Erfinv(scope_, x);
        break;
      case NDTRI:
        y = Ndtri(scope_, x);
        break;
    }

    float max_error;
    TF_ASSERT_OK((ComputeGradientError<X_T, Y_T, float>(scope_, x, x_data, y,

    // CHECK-NOT: tf.Erfinv
    %0 = "tf.Erfinv"(%input) : (tensor<4xf32>) -> tensor<4xf32>
    func.return %0 : tensor<4xf32>
  }

  // CHECK-LABEL: @ndtri
  func.func @ndtri(%input: tensor<4xf32>) -> tensor<4xf32> {
    // CHECK-NOT: tf.Ndtri
    %0 = "tf.Ndtri"(%input) : (tensor<4xf32>) -> tensor<4xf32>
    func.return %0 : tensor<4xf32>
  }

  // CHECK-LABEL: @fake_param
  func.func @fake_param() -> tensor<4xf32> {