v.Aux = symToAux(sym)
		v.AddArg3(ptr, x, mem)
		return true
	}
	// match: (MOVLstore {sym} [off] ptr y:(XORLload x [off] {sym} ptr mem) mem)
	// cond: y.Uses==1 && clobber(y)
	// result: (XORLmodify [off] {sym} ptr x mem)
	for {
		off := auxIntToInt32(v.AuxInt)
		sym := auxToSym(v.Aux)
		ptr := v_0
		y := v_1

	typ := &b.Func.Config.Types
	// match: (OffPtr [off] ptr:(SP))
	// result: (MOVDaddr [int32(off)] ptr)
	for {
		off := auxIntToInt64(v.AuxInt)
		ptr := v_0
		if ptr.Op != OpSP {
			break
		}
		v.reset(OpS390XMOVDaddr)
		v.AuxInt = int32ToAuxInt(int32(off))
		v.AddArg(ptr)
		return true
	}
	// match: (OffPtr [off] ptr)
	// cond: is32Bit(off)
	// result: (ADDconst [int32(off)] ptr)
	for {

	// result: (MOVBstore [off] {sym} ptr x mem)
	for {
		off := auxIntToInt32(v.AuxInt)
		sym := auxToSym(v.Aux)
		ptr := v_0
		if v_1.Op != OpPPC64MOVWreg {
			break
		}
		x := v_1.Args[0]
		mem := v_2
		v.reset(OpPPC64MOVBstore)
		v.AuxInt = int32ToAuxInt(off)
		v.Aux = symToAux(sym)
		v.AddArg3(ptr, x, mem)
		return true
	}

	v_0 := v.Args[0]
	// match: (OffPtr [off] ptr:(SP))
	// result: (MOVWaddr [int32(off)] ptr)
	for {
		off := auxIntToInt64(v.AuxInt)
		ptr := v_0
		if ptr.Op != OpSP {
			break
		}
		v.reset(OpARMMOVWaddr)
		v.AuxInt = int32ToAuxInt(int32(off))
		v.AddArg(ptr)
		return true
	}
	// match: (OffPtr [off] ptr)
	// result: (ADDconst [int32(off)] ptr)
	for {

	// Write args to the stack
	off := base.Ctxt.Arch.FixedFrameSize
	var callArgs []*ssa.Value
	var callArgTypes []*types.Type

	for _, arg := range args {
		t := arg.Type
		off = types.RoundUp(off, t.Alignment())
		size := t.Size()
		callArgs = append(callArgs, arg)
		callArgTypes = append(callArgTypes, t)
		off += size
	}
	off = types.RoundUp(off, int64(types.RegSize))

	// Issue call

  %on = arith.constant dense<1.0> : tensor<f32>
  %off = arith.constant dense<0.0> : tensor<f32>
  %filter = arith.constant dense<[[7.0, 11.0, 13.0], [17.0, 19.0, 23.0], [29.0, 31.0, 37.0], [41.0, 43.0, 47.0], [53.0, 59.0, 61.0]]> : tensor<5x3xf32>
  %bias = "tfl.no_value"() {value} : () -> none

                  when in BPF dataplane mode.  One of "Off", "Info", or "Debug".  The
                  logs are emitted to the BPF trace pipe, accessible with the command
                  `tc exec bpf debug`. [Default: Off].'
                pattern: ^(?i)(Off|Info|Debug)?$
                type: string
              bpfMapSizeConntrack:

- Changed how KMS v2 encryption at rest can generate data encryption keys. When you enable the `KMSv2KDF` feature gate (off by default), KMS v2 uses a key derivation function to generate single use data...

- The job controller back-off logic is now decoupled from workqueue. In case of parallelism > 1, if there are multiple new failures in a reconciliation cycle, all the failures are taken into account to compute the back-off. Previously, the back-off kicked in for all types of failures; with this change, only pod failures are taken into account. If the back-off limits exceeds, the job is marked as failed immediately; before this change, the job...

    Value assumption =
        b.createOrFold<shape::CstrEqOp>(ValueRange{then_shape, else_shape});
    // For a vector cond we also verify that the majormost dim of `then` matches
    // the vector size. To do that split off the first dim of `then`.
    bool needs_broadcast = cond_type.getRank() == 1 && then_type.getRank() != 1;
    Value then_shape_split = then_shape;
    if (needs_broadcast) {