///

Dieses Image verfügt über einen **Auto-Tuning**-Mechanismus, um die **Anzahl der Arbeitsprozesse** basierend auf den verfügbaren CPU-Kernen festzulegen.

# These are supported funding model platforms

github: [jinzhu]
patreon: jinzhu

        replicas taking part in sync training.
    *   Performance improvements for GPU multi-worker distributed training using
        `tf.distribute.experimental.MultiWorkerMirroredStrategy`
    *   Update NVIDIA `NCCL` to `2.5.7-1` for better performance and performance
        tuning. Please see

Sebastián Ramírez <******@****.***> 1589724233 +0200

The recommended way to handle the *startup* and *shutdown* is using the `lifespan` parameter of the `FastAPI` app as described above. If you provide a `lifespan` parameter, `startup` and `shutdown` event handlers will no longer be called. It's all `lifespan` or all events, not both.

You can probably skip this part.

///

There's an alternative way to define this logic to be executed during *startup* and during *shutdown*.

to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate

  }

  /**
   * This covers a bug where if a listener was installed that would stop the manager if any service
   * fails and something failed during startup before service.start was called on all the services,
   * then awaitStopped would deadlock due to an IllegalStateException that was thrown when trying to
   * stop the timer(!).
   */
  public void testFailStart_stopOthers() throws TimeoutException {
    Service a = new FailStartService();

     * State#RUNNING RUNNING}. This occurs when a service has successfully started.
     */
    public void running() {}

    /**
     * Called when the service transitions to the {@linkplain State#STOPPING STOPPING} state. The
     * only valid values for {@code from} are {@linkplain State#STARTING STARTING} or {@linkplain
     * State#RUNNING RUNNING}. This occurs when {@link Service#stopAsync} is called.

- Kubelet now cleans up the Node's cloud node IP annotation correctly if you
  stop using `--node-ip`. (In particular, this fixes the problem where people who
  were unnecessarily using `--node-ip` with an external cloud provider in 1.23,
  and then running into problems with 1.24, could not fix the problem by just
  removing the unnecessary `--node-ip` from the kubelet arguments, because

## Known Issues

* If you need to downgrade from 1.10 to 1.9.x, downgrade to v1.9.6 to ensure PV and PVC objects can be deleted properly.