- Sort Score
- Result 10 results
- Languages All
Results 41 - 50 of 566 for worker (0.22 sec)
-
docs/de/docs/deployment/manually.md
```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Mit Trio ausführen Dann können Sie die Befehlszeilenoption `--worker-class` mit dem Wert `trio` übergeben: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> Und das startet Hypercorn mit Ihrer Anwendung und verwendet Trio als Backend.
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Sat Mar 30 20:16:35 GMT 2024 - 5.4K bytes - Viewed (0) -
cmd/bucket-replication-stats.go
type ReplicationStats struct { // map of site deployment ID to site replication status // for site replication - maintain stats at global level srStats *SRStats // active worker stats workers *ActiveWorkerStat // queue stats cache qCache queueCache pCache proxyStatsCache // mrf backlog stats mrfStats ReplicationMRFStats // for bucket replication, continue to use existing cache
Go - Registered: Sun Apr 28 19:28:10 GMT 2024 - Last Modified: Thu Feb 22 06:26:06 GMT 2024 - 13.4K bytes - Viewed (0) -
docs/zh/docs/deployment/manually.md
<div class="termy"> ```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Run with Trio 然后你可以传递值`trio`给命令行选项`--worker-class`: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> 这将通过您的应用程序启动 Hypercorn,并使用 Trio 作为后端。 现在您可以在应用程序内部使用 Trio。 或者更好的是,您可以使用 AnyIO,使您的代码与 Trio 和 asyncio 兼容。 🎉 ## 部署概念
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Tue Jan 09 15:39:41 GMT 2024 - 4.6K bytes - Viewed (0) -
docs/de/docs/deployment/docker.md
## Offizielles Docker-Image mit Gunicorn – Uvicorn Es gibt ein offizielles Docker-Image, in dem Gunicorn mit Uvicorn-Workern ausgeführt wird, wie in einem vorherigen Kapitel beschrieben: [Serverworker – Gunicorn mit Uvicorn](server-workers.md){.internal-link target=_blank}.
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Sat Mar 30 18:19:17 GMT 2024 - 38.9K bytes - Viewed (0) -
docs/em/docs/deployment/manually.md
<div class="termy"> ```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### 🏃 ⏮️ 🎻 ⤴️ 👆 💪 🚶♀️ 📋 ⏸ 🎛 `--worker-class` ⏮️ 💲 `trio`: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> & 👈 🔜 ▶️ Hypercorn ⏮️ 👆 📱 ⚙️ 🎻 👩💻. 🔜 👆 💪 ⚙️ 🎻 🔘 👆 📱. ⚖️ 👍, 👆 💪 ⚙️ AnyIO, 🚧 👆 📟 🔗 ⏮️ 👯♂️ 🎻 & ✳. 👶
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Sat Apr 01 09:26:04 GMT 2023 - 4.3K bytes - Viewed (0) -
cmd/bucket-replication.go
for len(p.workers) < n { input := make(chan ReplicationWorkerOperation, 10000) p.workers = append(p.workers, input) go p.AddWorker(input, &p.activeWorkers) } for len(p.workers) > n { worker := p.workers[len(p.workers)-1] p.workers = p.workers[:len(p.workers)-1] xioutil.SafeClose(worker) } } // ResizeWorkerPriority sets replication failed workers pool size
Go - Registered: Sun Apr 28 19:28:10 GMT 2024 - Last Modified: Mon Apr 22 17:49:30 GMT 2024 - 112.2K bytes - Viewed (1) -
.teamcity/subprojects.json
"crossVersionTests": false }, { "name": "worker-processes", "path": "platforms/core-execution/worker-processes", "unitTests": true, "functionalTests": false, "crossVersionTests": false }, { "name": "worker-services", "path": "platforms/core-runtime/worker-services", "unitTests": false, "functionalTests": false,
Json - Registered: Wed May 01 11:36:15 GMT 2024 - Last Modified: Tue Apr 16 15:50:57 GMT 2024 - 26.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during // the process lifetime although this should cause the worker to be // reinitialized (e.g. cleared caches) as well.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/c_api_experimental_test.cc
namespace { TEST(CAPI_EXPERIMENTAL, GetServerDefTest) { const string expected_text_proto(R"(cluster { job { name: "worker" tasks { key: 0 value: "tpuserver:0" } tasks { key: 1 value: "localhost:1" } } } job_name: "worker" task_index: 1 protocol: "grpc" )"); TF_Status* status = TF_NewStatus();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 17 22:27:52 GMT 2023 - 13.1K bytes - Viewed (1) -
docs/zh/docs/deployment/concepts.md
### 复制工具和策略示例 可以通过多种方法来实现这一目标,我将在接下来的章节中向您详细介绍具体策略,例如在谈论 Docker 和容器时。 要考虑的主要限制是必须有一个**单个**组件来处理**公共IP**中的**端口**。 然后它必须有一种方法将通信**传输**到复制的**进程/worker**。 以下是一些可能的组合和策略: * **Gunicorn** 管理 **Uvicorn workers** * Gunicorn 将是监听 **IP** 和 **端口** 的 **进程管理器**,复制将通过 **多个 Uvicorn 工作进程** 进行 * **Uvicorn** 管理 **Uvicorn workers** * 一个 Uvicorn **进程管理器** 将监听 **IP** 和 **端口**,并且它将启动 **多个 Uvicorn 工作进程**
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 16.2K bytes - Viewed (0)