{0x0ff00000, 0x03700000, 3, CMN_EQ, 0x1c04, instArgs{arg_R_16, arg_const}},                                    // CMN<c> <Rn>,#<const> cond:4|0|0|1|1|0|1|1|1|Rn:4|(0)|(0)|(0)|(0)|imm12:12

	v_0 := v.Args[0]
	// match: (Load <t> ptr mem)
	// cond: (is64BitInt(t) || isPtr(t))
	// result: (MOVDload ptr mem)
	for {
		t := v.Type
		ptr := v_0
		mem := v_1
		if !(is64BitInt(t) || isPtr(t)) {
			break
		}
		v.reset(OpS390XMOVDload)
		v.AddArg2(ptr, mem)
		return true
	}
	// match: (Load <t> ptr mem)
	// cond: is32BitInt(t) && t.IsSigned()
	// result: (MOVWload ptr mem)

		v.AddArg(x)
		return true
	}
	// match: (ANDLconst [c] _)
	// cond: c==0
	// result: (MOVLconst [0])
	for {
		c := auxIntToInt32(v.AuxInt)
		if !(c == 0) {
			break
		}
		v.reset(Op386MOVLconst)
		v.AuxInt = int32ToAuxInt(0)
		return true
	}
	// match: (ANDLconst [c] x)
	// cond: c==-1
	// result: x
	for {
		c := auxIntToInt32(v.AuxInt)
		x := v_0

		v.AuxInt = int32ToAuxInt(0)
		return true
	}
	// match: (ANDconst [c] x)
	// cond: int32(c)==-1
	// result: x
	for {
		c := auxIntToInt32(v.AuxInt)
		x := v_0
		if !(int32(c) == -1) {
			break
		}
		v.copyOf(x)
		return true
	}
	// match: (ANDconst [c] x)
	// cond: !isARMImmRot(uint32(c)) && isARMImmRot(^uint32(c))
	// result: (BICconst [int32(^uint32(c))] x)
	for {

	typ := &b.Func.Config.Types
	// match: (Load <t> ptr mem)
	// cond: (is64BitInt(t) || isPtr(t))
	// result: (MOVDload ptr mem)
	for {
		t := v.Type
		ptr := v_0
		mem := v_1
		if !(is64BitInt(t) || isPtr(t)) {
			break
		}
		v.reset(OpPPC64MOVDload)
		v.AddArg2(ptr, mem)
		return true
	}
	// match: (Load <t> ptr mem)
	// cond: is32BitInt(t) && t.IsSigned()
	// result: (MOVWload ptr mem)

- Allow dynamically set glog logging level of kube-scheduler ([#83910](https://github.com/kubernetes/kubernetes/pull/83910), [@mrkm4ntr](https://github.com/mrkm4ntr))
- Add latency and request count metrics for scheduler framework. ([#83569](https://github.com/kubernetes/kubernetes/pull/83569), [@liu-cong](https://github.com/liu-cong))

- [`KT-56408`](https://youtrack.jetbrains.com/issue/KT-56408) Inconsistent rules of CFA in class initialization block between K1 and K2
- [`KT-63580`](https://youtrack.jetbrains.com/issue/KT-63580) "AssertionError: access of const val: GET_FIELD" caused by const value and variable with delegation
- [`KT-67993`](https://youtrack.jetbrains.com/issue/KT-67993) K2: PCLA Inference throws exception with local objects

 - `kubeadm`: a separate "super-admin.conf" file is now deployed. The User in `admin.conf` is now bound to a new RBAC Group `kubeadm:cluster-admins` that has `cluster-admin` `ClusterRole` access. The User in `super-admin.conf` is now bound to the `system:masters` built-in super-powers / break-glass Group that can bypass RBAC. Before this change, the default `admin.conf` was bound to `system:masters` Group, which was undesired. Executing `kubeadm init phase...

    Value filter = op.getFilter();

    const int feature_dim =
        tensorflow::GetTensorFeatureDimIndex(num_dims, data_format);
    const int64_t in_depth = *(input_shape.begin() + feature_dim);
    if (in_depth == ShapedType::kDynamic) return failure();
    const int64_t filter_in_depth = filter_shape[num_spatial_dims];
    const int64_t feature_group_count = in_depth / filter_in_depth;

* fix mount unmount failure for a Windows pod ([#63272](https://github.com/kubernetes/kubernetes/pull/63272), [@andyzhangx](https://github.com/andyzhangx))
* Fix for resourcepool-path configuration in the vsphere.conf file. ([#66261](https://github.com/kubernetes/kubernetes/pull/66261), [@divyenpatel](https://github.com/divyenpatel))