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build-logic/buildquality/src/main/kotlin/gradlebuild/incubation/action/IncubatingApiReportAggregationWorkAction.kt
* See the License for the specific language governing permissions and * limitations under the License. */ package gradlebuild.incubation.action import org.gradle.workers.WorkAction abstract class IncubatingApiReportAggregationWorkAction : WorkAction<IncubatingApiReportAggregationParameter> { override fun execute() { val byCategory = mutableMapOf<String, ReportNameToProblems>()
HTML - Registered: Wed May 01 11:36:15 GMT 2024 - Last Modified: Mon Jan 18 06:55:55 GMT 2021 - 3.4K bytes - Viewed (0) -
docs/pt/docs/project-generation.md
* Modelos **SQLAlchemy** (independente de extensões Flask, para que eles possam ser usados com _workers_ Celery diretamente). * Modelos básicos para usuários (modifique e remova conforme suas necessidades). * Migrações **Alembic**. * **CORS** (_Cross Origin Resource Sharing_ - Compartilhamento de Recursos Entre Origens). * _Worker_ **Celery** que pode importar e usar modelos e códigos do resto do _backend_ seletivamente.
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Sat Oct 17 05:50:32 GMT 2020 - 6.3K bytes - Viewed (0) -
build-logic-commons/basics/src/main/kotlin/gradlebuild/basics/PublicApi.kt
"org/gradle/swiftpm/**", "org/gradle/model/**", "org/gradle/testkit/**", "org/gradle/testing/**", "org/gradle/vcs/**", "org/gradle/work/**", "org/gradle/workers/**", "org/gradle/util/**", // contains Path that clashes with `org.gradle.api.model.Path` imported above. This line should not appear before "org/gradle/api/**" ) val excludes = listOf("**/internal/**")
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docs/zh/docs/deployment/concepts.md
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** * **Kubernetes** 和其他分布式 **容器系统**
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) -
.teamcity/src/main/kotlin/common/extensions.kt
listOf( // We pass the 'maxParallelForks' setting as 'workers.max' to limit the maximum number of executers even // if multiple test tasks run in parallel. We also pass it to the Gradle build as a maximum (maxParallelForks) // for each test task, such that we are independent of whatever default value is defined in the build itself. "-Dorg.gradle.workers.max=$maxParallelForks", "-PmaxParallelForks=$maxParallelForks",
Plain Text - Registered: Wed May 01 11:36:15 GMT 2024 - Last Modified: Fri Apr 12 10:49:15 GMT 2024 - 13K bytes - Viewed (0) -
docs/fr/docs/project-generation.md
* Modèles **SQLAlchemy** (indépendants des extensions Flask, afin qu'ils puissent être utilisés directement avec des *workers* Celery). * Modèle de démarrages basiques pour les utilisateurs (à modifier et supprimer au besoin). * Migrations **Alembic**. * **CORS** (partage des ressources entre origines multiples, ou *Cross Origin Resource Sharing*). * *Worker* **Celery** pouvant importer et utiliser les modèles et le code du reste du backend.
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Jul 02 14:18:06 GMT 2021 - 6.7K bytes - Viewed (0) -
docs/metrics/prometheus/grafana/replication/minio-replication-node.json
}, "exemplar": true, "expr": "sum by (server) (minio_cluster_replication_average_active_workers{job=\"$scrape_jobs\"})", "interval": "1m", "intervalFactor": 2, "legendFormat": "{{server}}", "refId": "A" } ], "title": "Avg. Active Workers", "type": "timeseries" }, { "datasource": { "type": "prometheus",
Json - Registered: Sun Apr 28 19:28:10 GMT 2024 - Last Modified: Thu Mar 28 17:15:39 GMT 2024 - 57.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
server_def.set_task_index(1); std::unique_ptr<tensorflow::GrpcServer> worker_server1; ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server1) .ok()); ASSERT_TRUE(worker_server1->Start().ok()); server_def.set_task_index(2); std::unique_ptr<tensorflow::GrpcServer> worker_server2; ASSERT_TRUE(tensorflow::GrpcServer::Create(
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.teamcity/src/test/kotlin/ApplyDefaultConfigurationTest.kt
val expectedInstallationPaths = if (os == Os.WINDOWS) windowsPaths else linuxPaths
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tensorflow/c/eager/c_api.h
TF_CAPI_EXPORT extern TFE_ContextDevicePlacementPolicy TFE_ContextGetDevicePlacementPolicy(TFE_Context* ctx); // A tensorflow.ServerDef specifies remote workers (in addition to the current // workers name). Operations created in this context can then be executed on // any of these remote workers by setting an appropriate device. // // If the following is set, all servers identified by the // ServerDef must be up when the context is created.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1)