main.cpp: #include<iostream>#include<thread>#include<string>#include<vector>voidcompute(intnIters){for(intiter=0;iter<nIters;++iter){std::cout<<" iter = "<<iter+1<<" nIters = "<<nIters<<std::endl;std::this_thread::sleep_for(std::chrono::milliseconds(500));}std::cout<<"The ...
多线程安全的vector设计---借助thread_local变量 thread_local变量简介 thread_local是C++11之后才引入的关键字。thread_local变量与其所在线程同步创建和销毁,并且只能被创建它的线程所访问,也就是说thread_local变量是线程安全的。每个线程在自身TIB(Thread Information Block)中存储thread_local变量的副本。 基于thread_...
可见现成 thread_get在读取vec[0].id值的时候,获取到了三种状态下的值,说明std::vector的操作不是线程安全的: 拷贝构造函数的值:101 //2 拷贝构造函数,用于说明深拷贝的必要性 MyClass(const MyClass& var) : id(var.id + 1), name(var.name), p(var.p) { ... }; 析构后的值: -1 ~MyCl...
std::thread; _Alloc = std::allocator<std::thread>; std::vector<_Tp, _Alloc>::value_type = std::thread]' main.cpp:37:30: required from here /usr/local/include/c++/5.1.0/ext/new_allocator.h:120:4: error: use of deleted function 'std::thread::thread(const std::thread&)' { :...
求助,std::ve..如题,编译器为mingw,未使用cmake,其他都好好的,补充:vs2022中可运行,如果gcc实在不行,如何在vscode中设置与vs2022一样的环境(编译选项)呢
target_link_libraries(${file} boost_filesystem boost_thread boost_system boost_serialization pthread boost_chrono) endforeach( sourcefile ${APP_SOURCES} ) main.cpp #include<boost/type_traits/integral_constant.hpp>#include<boost/static_assert.hpp>#include<vector>template<classT>structis_stdvector:...
我用std::thread多次调用这个函数,我想将它返回到一个大张量中的张量连接起来。例如,我把它叫做12次,当它结束时,我期望有一个12x8的张量。如果您注释掉all_episode_steps行,并将std::cout << one;放在get_tensors函数中返回语句的上方,您将看到它似乎在使用多线程来创建...
在内部是select模式进行循环检查的,哪个socket可读,可写,有错误,都是知道的然后调用不同的函数, auto bev= bufferevent_socket_new(plt->thread_base, item.fd, BEV_OPT_THREADSAFE); Channel2* c2 =CreateChannel(bev);//设置接收、状态改变 回调函数bufferevent_setcb(bev, conn_readcb, NULL, conn_eventcb...
(Fn&& fn, Args&&... args); 初始化构造函数 是 thread(thread&& x) noexcept; 移动构造函数 视情况而定...t4 = std::move(t3); 4,std::thread 的移动构造本身不会对其进行初始化,如果被移动的对象本身是已初始化过的,那么它也是初始化的,反之亦然。...根据 RAII 原则,在构造函数中上锁(创建...
of std::vectors, it kind of makes sense as there is no or very little contention but the downside I see is I loose the use of single contiguous block of memory for a single (lock-free) vector which isn't a big deal really since I still have contiguous blocks of...