//
  // Example: If one calls `op->SetDeviceName("/device:GPU")`, the value
  // returned by DeviceName should be "/device:GPU:*" until a particular GPU is
  // chosen for the operation by the device placement logic in the
  // executor. After that, the value returned by DeviceName will be a full
  // device name such as "/job:localhost/replica:0/task:0/device:GPU:1".
  virtual const string& DeviceName() const = 0;

  // Sets the operation device name.
  //

labels.pos=POS
labels.purgeJobLogDay=Purge Job Log Before
labels.purgeUserInfoDay=Purge User Before
labels.reading=Reading
labels.roleTypeIds=Role ID
labels.scriptData=Script
labels.scriptResult=Result
labels.scriptType=Executor
labels.segmentation=Segmentation
labels.startTime=Start Time
labels.target=Target
labels.token=Token
labels.synonymFile=Synonym File
labels.stopwordsFile=Stopwords File

  EXPECT_THAT(TF_Message(status.get()), HasSubstr("assertion failed"));

  // Note that future collectives with the same context do not work at the
  // moment; once canceled, the collective executor requires the program to be
  // restarted / context to be reset.
}

TEST(PARALLEL_DEVICE_LIB, TestDifferentShapes) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(

      if (activeTask == null && futureTasks.isEmpty()) {
        return CountDownLatch(0)
      }

      // If there's an existing AwaitIdleTask, use it. This is necessary when the executor is
      // shutdown but still busy as we can't enqueue in that case.
      val existingTask = activeTask
      if (existingTask is AwaitIdleTask) {
        return existingTask.latch
      }

labels.purgeJobLogDay=Bereinige Suchprotokoll nach
labels.purgeUserInfoDay=Bereinige Benutzer nach
labels.reading=Lesen
labels.roleTypeIds=Rollen-ID
labels.scriptData=Skript
labels.scriptResult=Suchergebnis
labels.scriptType=Executor
labels.segmentation=Segmentierung
labels.startTime=Startzeitpunkt
labels.target=Ziel
labels.token=Token
labels.synonymFile=Datei mit Synonymen
labels.elevateWordFile=Datei mit zusätzlichen Wörtern

        // If the context's default exector is set to async, re-using that in
        // each thread would cause collectives to deadlock. For consistency we
        // create a new sync executor for every thread.
        //
        // TODO(allenl): We should have an async API that works with the
        // parallel device.
        device_(device),
        executor_(

          <groupId>org.apache.rat</groupId>
          <artifactId>apache-rat-plugin</artifactId>
          <configuration>
            <excludes combine.children="append">
              <exclude>lifecycle-executor.txt</exclude>
              <exclude>plugin-manager.txt</exclude>
              <exclude>project-builder.txt</exclude>
              <exclude>src/site/resources/design/**</exclude>
            </excludes>

#### Do-stuff-later pool

Sometimes there's an action required like calling the application layer or responding to a ping, and the thread discovering the action is not the thread that should do the work. We enqueue a runnable on this executor and it gets handled by one of the executor's threads.

### Locks

We have 3 different things that we synchronize on.

#### Http2Connection

labels.scheduledjob_target	=	Cible
labels.scheduledjob_status	=	État
labels.scheduledjob_cronExpression	=	Tableau
labels.scheduledjob_scriptType	=	Executor
labels.scheduledjob_scriptData	=	Script
labels.scheduledjob_jobLogging	=	Logging
labels.scheduledjob_crawler	=	Tâche d'exploration
labels.scheduledjob_running	=	Éxecuter
labels.scheduledjob_active	=	Actif
labels.scheduledjob_nojob	=	Inactif
labels.scheduledjob_button_start	=	Commencez maintenant.

labels.scheduledjob_title_details=Jobs
labels.scheduledjob_name=Name
labels.scheduledjob_target=Target
labels.scheduledjob_status=Status
labels.scheduledjob_cronExpression=Schedule
labels.scheduledjob_scriptType=Executor
labels.scheduledjob_scriptData=Script
labels.scheduledjob_jobLogging=Logging
labels.scheduledjob_crawler=Crawler Job
labels.scheduledjob_running=Running
labels.scheduledjob_active=Active