TFE_OpAddInput(matmul, has_packed_input ? packed_handle : h1_task2, status);
    ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  } else {
    // Handles are on task0 (local), and task2, but op is on task1.
    matmul = MatMulOp(ctx, h0_task0, h1_task2);
  }
  if (remote) {
    TFE_OpSetDevice(matmul, task1_name, status);
    ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  // Pack 3 variable handles into one TFE_TensorHandle.
  // When remote is false, function device is placed on task0. Handle types are
  // REMOTE, REMOTE, LOCAL on task0. When remote is true, function device is
  // placed on task1, Handle types are LOCAL, REMOTE, LOCAL on task1.
  int num_replicas = 3;
  std::vector<TFE_TensorHandle*> handles = {h0, h1, h2};
  TFE_TensorHandle* packed_handle =

 * decide not to by returning -1L.
 *
 * Task Queues
 * -----------
 *
 * Tasks are bound to the [TaskQueue] they are scheduled in. Each queue is sequential and the tasks
 * within it never execute concurrently. It is an error to use a task in multiple queues.
 */
abstract class Task(
  val name: String,
  val cancelable: Boolean = true,
) {
  // Guarded by the TaskRunner.
  internal var queue: TaskQueue? = null

{* ../../docs_src/background_tasks/tutorial001.py hl[6:9] *}

## Add the background task

Inside of your *path operation function*, pass your task function to the *background tasks* object with the method `.add_task()`:

{* ../../docs_src/background_tasks/tutorial001.py hl[14] *}

`.add_task()` receives as arguments:

* A task function to be run in the background (`write_notification`).

            println("##teamcity[buildProblem description='${buildScanUri}/console-log?task=$it']")
        }
    }
}

fun shouldBeReportedAsTeamCityBuildProblem(task: Task) = task is Checkstyle || task is Detekt || task is AbstractCompile || task is CodeNarc

abstract class CollectFailedTaskPathsBuildService : AbstractBuildScanInfoCollectingService() {

 * limitations under the License.
 */

plugins {
    java
}

val validateTaskName = "validatePlugins"
val reportFileName = "task-properties/report.txt"

tasks.register<ValidatePlugins>(validateTaskName) {
    val main = project.sourceSets.main.get()
    classes.from(main.output)
    classpath.from(main.runtimeClasspath)

# Repository Management Tasks

These are the tasks that can be performed to manage the FastAPI repository by [team members](./fastapi-people.md#team){.internal-link target=_blank}.

/// tip

This section is useful only to a handful of people, team members with permissions to manage the repository. You can probably skip it. 😉

///

...so, you are a [team member of FastAPI](./fastapi-people.md#team){.internal-link target=_blank}? Wow, you are so cool! 😎

```Python hl_lines="6-9"
{!../../docs_src/background_tasks/tutorial001.py!}
```

## Добавление фоновой задачи

Внутри функции вызовите метод `.add_task()` у объекта *background tasks* и передайте ему функцию, которую хотите выполнить в фоне:

```Python hl_lines="14"
{!../../docs_src/background_tasks/tutorial001.py!}
```

`.add_task()` принимает следующие аргументы:

在FastAPI中仍然可以单独使用 `BackgroundTask`，但您必须在代码中创建对象，并返回包含它的Starlette `Response`。

更多细节查看 <a href="https://www.starlette.io/background/" class="external-link" target="_blank">Starlette's official docs for Background Tasks</a>.

## 告诫

如果您需要执行繁重的后台计算，并且不一定需要由同一进程运行（例如，您不需要共享内存、变量等），那么使用其他更大的工具（如 <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>）可能更好。

        tasks.withType(AsciidoctorTask.class).configureEach(task -> {
            if (task.getName().equals("asciidoctor")) {
                // ignore this task
                task.setEnabled(false);
                return;
            }

            task.setExecutionMode(ExecutionMode.OUT_OF_PROCESS);