有一个官方 Docker 镜像，其中包含与 Uvicorn worker一起运行的 Gunicorn，如上一章所述：[服务器工作线程 - Gunicorn 与 Uvicorn](server-workers.md){.internal-link target=_blank}。

该镜像主要在上述情况下有用：[具有多个进程和特殊情况的容器](#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

    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"

As noted already, programmers are strongly encouraged to use appropriate synchronization
to avoid data races.
In the absence of data races, Go programs behave as if all the goroutines
were multiplexed onto a single processor.
This property is sometimes referred to as DRF-SC: data-race-free programs
execute in a sequentially consistent manner.
</p>

<p>
While programmers should write Go programs without data races,

    @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

/// check | "**FastAPI** le recommande comme"

Le serveur web principal pour exécuter les applications **FastAPI**.

Vous pouvez le combiner avec Gunicorn, pour avoir un serveur multi-processus asynchrone.

Pour plus de détails, consultez la section [Déploiement](deployment/index.md){.internal-link target=_blank}.

///

## Benchmarks et vitesse

Con **FastAPI** puedes aprovechar la concurrencia que es muy común para el desarrollo web (atractivo principal de NodeJS).

Pero también puedes aprovechar los beneficios del paralelismo y el multiprocesamiento (tener múltiples procesos ejecutándose en paralelo) para cargas de trabajo **CPU bound** como las de los sistemas de Machine Learning.

labels.crawlingThreadCount	=	Configuration simultanée du robot d'exploration
labels.boost	=	Booster
labels.crawlingConfigName	=	Nom
labels.crawlingConfigPath	=	Chemin d'exploration
labels.processType	=	Type de processus
labels.parameters	=	Paramètres
labels.designFile	=	Envoyer  un fichier
labels.bulkFile	=	Fichier en vrac
labels.appendQueryParameter	=	Paramètres de requête supplémentaires
labels.configId	=	ID de configuration

		maxLWorkers:     maxLWorkers,
	}

	pool.ResizeLrgWorkers(maxLWorkers, 0)
	pool.ResizeWorkers(workers, 0)
	pool.ResizeFailedWorkers(failedWorkers)
	go pool.resyncer.PersistToDisk(ctx, o)
	go pool.processMRF()
	go pool.persistMRF()
	return pool
}

// AddMRFWorker adds a pending/failed replication worker to handle requests that could not be queued
// to the other workers