// Rounds on integers should just be bypassed.
def LowerRoundOpOnIntTensor : Pat<
  (TF_RoundOp:$res TF_IntTensor:$input),
  (TF_IdentityOp $input)>;

// Implements TF Round on floats using basic operations. TF Round is specified
// as RoundHalfToEven to be compatible with Numpy.
def LowerRoundOpOnFloatTensor : Pat<
  (TF_RoundOp:$res TF_FloatTensor:$input),
  (TF_SelectV2Op
    (TF_EqualOp

// CHECK: %[[avgpool_f32:.*]] = "tf.AvgPool"(%[[fcast]])
// CHECK-SAME: (tensor<*xf32>) -> tensor<*xf32>
// CHECK: %[[round:.*]] = "tf.Round"(%[[avgpool_f32]])
// CHECK: %[[icast:.*]] = "tf.Cast"(%[[round]]) <{Truncate = false}> : (tensor<*xf32>) -> tensor<*xi8>
// CHECK: %[[reshape:.*]] = "tf.Reshape"(%[[icast]]

	kubeproxyconfig "k8s.io/kubernetes/pkg/proxy/apis/config"
	"k8s.io/kubernetes/pkg/proxy/util/nfacct"
)

const kubeProxySubsystem = "kubeproxy"

var (
	// SyncProxyRulesLatency is the latency of one round of kube-proxy syncing proxy
	// rules. (With the iptables proxy, this includes both full and partial syncs.)
	SyncProxyRulesLatency = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      kubeProxySubsystem,

	CMP	$128, srcPtrLen

	MOVD	ks, H0
	// For AES-128 round keys are stored in: K0 .. K10, KLAST
	VLD1.P	64(H0), [K0.B16, K1.B16, K2.B16, K3.B16]
	VLD1.P	64(H0), [K4.B16, K5.B16, K6.B16, K7.B16]
	VLD1.P	48(H0), [K8.B16, K9.B16, K10.B16]
	VMOV	K10.B16, KLAST.B16

	BLT	startSingles
	// There are at least 8 blocks to encrypt
	TBZ	$4, NR, octetsLoop

	// For AES-192 round keys occupy: K0 .. K7, K10, K11, K8, K9, KLAST

			j.APIVersion = ""
			j.Kind = ""
		},
		func(j *runtime.Object, c fuzz.Continue) {
			// TODO: uncomment when round trip starts from a versioned object
			if true { //c.RandBool() {
				*j = &runtime.Unknown{
					// We do not set TypeMeta here because it is not carried through a round trip
					Raw:         []byte(`{"apiVersion":"unknown.group/unknown","kind":"Something","someKey":"someValue"}`),

    const float real_value = expressed_value.convertToFloat();

    const double scaled = real_value / scale_double_ + zero_point_double_;
    // Round to nearest integer with halfway cases rounded away from zero.
    const double scaled_rounded = std::round(scaled);
    const double clamped = std::min(std::max(scaled_rounded, clamp_min_double_),
                                    clamp_max_double_);

// CHECK: %[[round:.*]] = "tf.Round"(%[[avgpool]]) : (tensor<*xf32>) -> tensor<*xf32>
// CHECK: %[[cast_2:.*]] = "tf.Cast"(%[[round]]) <{Truncate = false}> : (tensor<*xf32>) -> tensor<*xi8>
// CHECK: %[[dequantize:.*]] = "tf.PartitionedCall"(%[[cast_2]]
// CHECK-SAME: f = @dequantize_i8

	//	B = (65536*Y' + 116130 *(Cb-128)                  + adjustment) >> 16
	// A constant rounding adjustment of 1<<15, one half of 1<<16, would mean
	// round-to-nearest when dividing by 65536 (shifting right by 16).
	// Similarly, a constant rounding adjustment of 0 would mean round-down.
	//
	// Defining YY1 = 65536*Y' + adjustment simplifies the formulae and
	// requires fewer CPU operations:

	// Since the remainder is in the range [0, 2q), not [0, q), we need to
	// portion it into three spans for rounding.
	//
	//     [ 0,       q/2     ) -> round to 0
	//     [ q/2,     q + q/2 ) -> round to 1
	//     [ q + q/2, 2q      ) -> round to 2
	//
	// We can convert that to the following logic: add 1 if remainder > q/2,
	// then add 1 again if remainder > q + q/2.
	//

					t.Errorf("expected %v: %v\n%s", gvk, err, string(data))
					continue
				}
			}
		}
	}
}

// TestRoundTripTypes applies the round-trip test to all round-trippable Kinds
// in all of the API groups registered for test in the legacyscheme package.
func TestRoundTripTypes(t *testing.T) {
	seed := rand.Int63()