* completed, has already been cancelled, or could not be cancelled for some other reason. If
   * successful, and this step has not started when {@code cancel} is called, this step should never
   * run.
   *
   * <p>If successful, causes the objects captured by this step (if already started) and its input
   * step(s) for later closing to be closed on their respective {@link Executor}s. If any such calls

    * Andernfalls müssen Sie möglicherweise den TLS-Terminierungsproxy vorübergehend stoppen, das Programm starten, welches die neuen Zertifikate beschafft, diese dann mit dem TLS-Terminierungsproxy konfigurieren und dann den TLS-Terminierungsproxy neu starten. Das ist nicht ideal, da Ihre Anwendung(en) während der Zeit, in der der TLS-Terminierungsproxy ausgeschaltet ist, nicht erreichbar ist/sind.

            includeModule("org.gradle", "gradle-tooling-api")
            includeModule("org.gradle.buildtool.internal", "configuration-cache-report")
            includeModule("org.gradle.buildtool.internal", "gradle-ide-starter")
        }
    }
    google {
        content {
            includeGroup("com.android.databinding")
            includeGroupByRegex("com\\.android\\.tools(\\.[a-z.\\-]*)?")
        }
    }
    maven {

  ASSERT_EQ(0, TFE_TensorDebugInfoOnDeviceNumDims(debug_info));

  TFE_DeleteTensorDebugInfo(debug_info);
  TFE_DeleteTensorHandle(h);
  TFE_DeleteContext(ctx);
  TF_DeleteStatus(status);
}

TEST(CApiDebug, 2DCPU) {
  TF_Status* status = TF_NewStatus();
  TFE_ContextOptions* opts = TFE_NewContextOptions();
  TFE_Context* ctx = TFE_NewContext(opts, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

		objInfo.UserTags = tags
	}

	// Add replication status to the object info
	objInfo.ReplicationStatusInternal = fi.ReplicationState.ReplicationStatusInternal
	objInfo.VersionPurgeStatusInternal = fi.ReplicationState.VersionPurgeStatusInternal
	objInfo.ReplicationStatus = fi.ReplicationStatus()
	if objInfo.ReplicationStatus.Empty() { // overlay x-amx-replication-status if present for replicas

		close(writer.payloadCh)
		// Wait until the `start` go-routine is done.
		<-writer.doneCh
		return nil
	}
}

func (writer *messageWriter) FinishWithError(errorCode, errorMessage string) error {
	select {
	case <-writer.doneCh:
		return fmt.Errorf("messageWriter is done")
	case writer.errCh <- newErrorMessage([]byte(errorCode), []byte(errorMessage)):
		// Wait until the `start` go-routine is done.
		<-writer.doneCh

    TF_Status* out_status) const {
  absl::Status status;
  if (reader_ != nullptr) {
    status = reader_->GetTensor(name, out_tensor);
  } else {
    tensorflow::DataType dtype;
    tensorflow::TensorShape shape;
    status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape);
    if (status.ok()) {
      out_tensor->reset(new Tensor(dtype, shape));
      status = v2_reader_->Lookup(name, out_tensor->get());

				started := time.Now()
				dl, _ := ctx.Deadline()
				if testing.Verbose() {
					fmt.Println(GetCaller(ctx).Name, "Server deadline:", time.Until(dl))
				}
				<-ctx.Done()
				serverCanceled <- time.Since(started)
				if testing.Verbose() {
					fmt.Println(GetCaller(ctx).Name, "Server Context canceled with", ctx.Err(), "after", time.Since(started))
				}
				return nil
			},

Das steht im Gegensatz zu den **Entwicklungsphasen**, in denen Sie ständig den Code ändern, kaputt machen, reparieren, den Entwicklungsserver stoppen und neu starten, usw.

## Deployment-Strategien

Abhängig von Ihrem spezifischen Anwendungsfall und den von Ihnen verwendeten Tools gibt es mehrere Möglichkeiten, das zu tun.

        `dtensor.shutdown_tpu_system`.

## Deprecations

*   The C++ `tensorflow::Code` and `tensorflow::Status` will become aliases of
    respectively `absl::StatusCode` and `absl::Status` in some future release.
    *   Use `tensorflow::OkStatus()` instead of `tensorflow::Status::OK()`.
    *   Stop constructing `Status` objects from `tensorflow::error::Code`.
    *   One MUST NOT access `tensorflow::errors::Code` fields. Accessing