*   **Linux x86 packages:**
        *   oneDNN optimizations are *enabled by default* on CPUs with
            neural-network-focused hardware features such as AVX512_VNNI,
            AVX512_BF16, AMX, etc.
            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)

	return resp.ValueOrZero(), err
}

// GetCPUs - fetch CPU information for a remote node.
func (client *peerRESTClient) GetCPUs(ctx context.Context) (info madmin.CPUs, err error) {
	resp, err := getCPUsHandler.Call(ctx, client.gridConn(), grid.NewMSS())
	return resp.ValueOrZero(), err
}

// GetNetInfo - fetch network information for a remote node.

- A new kubelet command line option, `--reserved-cpus`, is introduced to explicitly define the CPU list that will be reserved for system. For example, if `--reserved-cpus=0,1,2,3` is specified, then cpu 0,1,2,3 will be reserved for the system.  On a system with 24 CPUs, the user may specify `isolcpus=4-23` for the kernel option and use CPU 4-23 for the user containers. ([#83592](https://github.com/kubernet...

</p>

<p>
Note that the prohibition on introducing data races
does not apply if the compiler can prove that the races
do not affect correct execution on the target platform.
For example, on essentially all CPUs, it is valid to rewrite
</p>

<pre>
n := 0
for i := 0; i < m; i++ {
	n += *shared
}
</pre>

into:

<pre>
n := 0
local := *shared
for i := 0; i < m; i++ {
	n += local

    /** The key of the message: Target */
    public static final String LABELS_OUTPUTS = "{labels.outputs}";

    /** The key of the message: POS */
    public static final String LABELS_POS = "{labels.pos}";

    /** The key of the message: Purge Job Log Before */
    public static final String LABELS_PURGE_JOB_LOG_DAY = "{labels.purgeJobLogDay}";

pkg go/ast, type Package //deprecated #52463
pkg go/ast, type Scope //deprecated #52463
pkg go/build/constraint, func GoVersion(Expr) string #59033
pkg go/build, type Directive struct #56986
pkg go/build, type Directive struct, Pos token.Position #56986
pkg go/build, type Directive struct, Text string #56986
pkg go/build, type Package struct, Directives []Directive #56986
pkg go/build, type Package struct, TestDirectives []Directive #56986

ber[n]?"":"px")},cur:function(){var e=at.propHooks[this.prop];return e&&e.get?e.get(this):at.propHooks._default.get(this)},run:function(e){var t,n=at.propHooks[this.prop];return this.options.duration?this.pos=t=ce.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):at.propHooks._default.set(this),this}}).init.prototype=at.prototype,...

labels.endTime = 종료 시간
labels.hq = hq
labels.inputs = 원본
labels.jobLogging = 로깅
labels.jobName = 이름
labels.jobStatus = 상태
labels.labelTypeIds = 레이블(Label)
labels.lang = 언어
labels.outputs = 대상
labels.pos = 품사
labels.purgeJobLogDay = 이전 작업 로그 삭제
labels.purgeUserInfoDay = 이전의 사용자 로그를 삭제
labels.reading = 읽기
labels.roleTypeIds = Role ID
labels.scriptData = 스크립트
labels.scriptResult = 결과
labels.scriptType = 실행 방법

    ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
    string device_name(dev);
    if (device_name.find("GPU:0") != string::npos) {
      has_gpu0 = true;
    }
    if (device_name.find("GPU:1") != string::npos) {
      has_gpu1 = true;
    }
  }

  const char* kCPUDevice = "CPU:0";
  if (!has_gpu0 || !has_gpu1) {
    TF_DeleteDeviceList(devices);

- Fixes regression in CPUManager that caused freeing of exclusive CPUs at incorrect times ([#90377](https://github.com/kubernetes/kubernetes/pull/90377), [@cbf123](https://github.com/cbf123)) [SIG Cloud Provider and Node]