const char* export_dir, const char* const* tags, int tags_len,
    TF_Graph* graph, TF_Buffer* meta_graph_def, TF_Status* status);

// Close a session.
//
// Contacts any other processes associated with the session, if applicable.
// May not be called after TF_DeleteSession().
TF_CAPI_EXPORT extern void TF_CloseSession(TF_Session*, TF_Status* status);

// Destroy a session object.
//

    override fun flush() {
    }

    override fun timeout(): Timeout = Timeout.NONE

    @Throws(IOException::class)
    override fun close() {
    }
  }

  /** Processes HTTP requests layered over HTTP/2. */
  private inner class Http2SocketHandler constructor(
    private val socket: Socket,
    private val protocol: Protocol,
  ) : Http2Connection.Listener() {

이 이미지는 주로 위에서 설명된 상황에서 유용할 것입니다: [다중 프로세스를 가지는 컨테이너와 특수한 경우들](#containers-with-multiple-processes-and-special-cases).

* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>.

/// warning | "경고"

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

    @SuppressWarnings("nullness")
    ListenableFuture<List<V>> nonNull = nullable;
    return nonNull;
  }

  /**
   * Creates a {@link FutureCombiner} that processes the completed futures whether or not they're
   * successful.
   *
   * <p>Any failures from the input futures will not be propagated to the returned future.
   *
   * @since 20.0
   */
  @SafeVarargs

job.template.script=return container.getComponent("crawlJob").logLevel("info").webConfigIds([{0}] as String[]).fileConfigIds([{1}] as String[]).dataConfigIds([{2}] as String[]).jobExecutor(executor).execute();
job.max.crawler.processes=0
job.default.script=groovy
job.system.property.filter.pattern=

processors=0
java.command.path=java
python.command.path=python
path.encoding=UTF-8
use.own.tmp.dir=true
max.log.output.length=4000

for COS images on GCE has changed to `/home/kubernetes/flexvolume`, rather than `/etc/srv/kubernetes/kubelet-plugins/volume/exec`. Existing Flexvolume installations in clusters using COS images must be moved to the new directory, and installation processes must be updated with the new path. ([#58171](https://github.com/kubernetes/kubernetes/pull/58171), [@verult](https://github.com/verult))

* Default values differ between the Kubelet's componentconfig (config file) API and the Kubelet's...

([#44744](https://github.com/kubernetes/kubernetes/pull/44744), [@yguo0905](https://github.com/yguo0905))

  * Kubernetes now shares a single PID namespace among all containers in a pod when running with docker >= 1.13.1. This means processes can now signal processes in other containers in a pod, but it also means that the `kubectl exec {pod} kill 1` pattern will cause the Pod to be restarted rather than a single container. ([#45236](https://github.com/kubernetes/kubernetes/pull/45236), [@verb](...

    * Specifically the new controller watches the API server for scheduled pods. It processes each pod and ensures that any volumes that implement the volume Attacher interface are attached to the node their pod is scheduled to.

    /**
     * Get the value for the key 'job.max.crawler.processes'. <br>
     * The value is, e.g. 0 <br>
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getJobMaxCrawlerProcesses();

    /**
     * Get the value for the key 'job.max.crawler.processes' as {@link Integer}. <br>
     * The value is, e.g. 0 <br>