指定Scheduler, 看具体的应用场景,可以是threadPool, 可以是MainThread, 或者某个指定的线程 如Traverse thread。 应用 Async+Threads+Cache 在客户端的应用还挺多的, 就渲染来说,加载网络中的数据(model or image), 就需要异步请求,资源到了可能还需要先编译,收集一下renderInfo,
如何确认延迟任务WorkSchedulerExtensionAbility回调方法onWorkStart、onWorkStop实现是否正确、是否可以成功回调 如何查询后台任务中短时任务/长时任务/延迟任务/后台代理提醒相关的系统日志 进程间通信(IPC) IPC跨进程通信中是否支持异步返回数据 卡片开发(Form) 点击服务卡片如何跳转至指定的页面 元服务与服务卡片...
你不需要将手指放在键盘上盘旋等待按下回车键，或者是在特定时间坐在办公桌前。
1#ifndef LIBP2P_DIALER_IMPL_HPP2#defineLIBP2P_DIALER_IMPL_HPP34#include <set>5#include <unordered_map>67#include <libp2p/basic/scheduler.hpp>8#include <libp2p/network/connection_manager.hpp>9#include <libp2p/network/dialer.hpp>10#include <libp2p/network/listener_manager.hpp>11#include <lib...
class manual_executor { /* Destructor. Equivalent to clear. */ ~manual_executor() noexcept; /* Returns the number of enqueued tasks at the moment of invocation. This number can change quickly by the time the application handles it, it should be used as a hint. This method is thread ...
PeripheryTaskScheduler::GetInstance()->Start(); StartPlugins(); FrameStats::GetInstance()->Start(); runtime::StartReportRuntimeInfo(); #ifdef TRPC_BUILD_INCLUDE_RPCZ rpcz::RpczCollector::GetInstance()->Start(); #endif return 0; }
Heterogeneity-aware workload distribution: A scheduler is designed to optimize workload distribution based on each device's computing power, disk speed, memory, and OS (the OS will affect the disk speed and the memory management strategy). It decides how many model layers a device should handle...
RetrainingSchedulerSummary&WithModelName(ModelNameT &&value) constAws::String&GetModelArn() const boolModelArnHasBeenSet() const template<typename ModelArnT = Aws::String> voidSetModelArn(ModelArnT &&value) template<typename ModelArnT = Aws::String> ...
35structscheduler; 36classSyncUser; 37命名空间应用 { 38classUser; 39} 40 41enum classclient_reset_mode: uint 8 _t { 42// 触发客户端重置错误 43手册, 44// 丢弃未同步的本地更改,而不中断访问器或关闭 Realm 45Discard_unsynced, 46// 尝试恢复未同步但已提交的更改。
marl - Marl is a hybrid thread / fiber task scheduler written in C++ 11. [Apache-2.0] moderngpu - moderngpu is a productivity library for general-purpose computing on GPUs. It is a header-only C++ library written for CUDA. The unique value of the library is in its accelerated primitives...