ThreadPoolExecutor中有一个控制状态的属性叫ctl,它是一个AtomicInteger类型的变量,它包含两个概念: workerCount:表明当前有效的线程数 runState:表明当前线程池的状态,是否处于Running,Shutdown,Stop,Tidying,Terminate五种状态。 为了把这两种状态放到一个int值中保存,代码中限定了workerCount的值是2^29-1,因为还有五...
threadpoolctl 是一个用于限制Python程序中线程池数量的库,常用于优化使用OpenBLAS或MKL等库的性能。您可以通过PyPI(Python Package Index)找到这个模块。 3. 安装 threadpoolctl 模块 使用pip命令来安装 threadpoolctl 模块是最直接的方法。打开您的命令行工具(如cmd、PowerShell、Terminal等),并输入以下命令: bash ...
publicvoidexecute(Runnable command){//#1if(command ==null)thrownewNullPointerException();intc = ctl.get();if(workerCountOf(c) < corePoolSize) {//#2if(addWorker(command,true))return;c = ctl.get();}if(isRunning(c) && workQueue.offer(command)) {//#3intrecheck = ctl.get();if(! is...
The changelog is available here:https://github.com/joblib/threadpoolctl/blob/master/CHANGES.md. This version supports Python versions 3.8 to 3.12. You can install with pip: pip install -U threadpoolctl or conda: conda install -c conda-forge threadpoolctl ...
如果看了ThreadPoolExecutor的源码,看到了第一个变量便是一个AtomicInteger类型的ctl private final AtomicInteger ctl = new AtomicInteger(ctlOf(RUNNING, 0)); 1. 用来描述线程池的状态(pool control state) ...
python -m threadpoolctl -i numpy scipy.linalg [ { "filepath": "/home/ogrisel/miniconda3/envs/tmp/lib/libmkl_rt.so", "prefix": "libmkl_rt", "user_api": "blas", "internal_api": "mkl", "version": "2019.0.4", "num_threads": 2, "threading_layer": "intel" }, { "filepath"...
我们把ThreadPoolExecutor中的状态和状态相关的方法复制出来,然后创建一个线程池,在运行中的时候分析线程池的状态和线程数,于是有了下面例子: @Slf4j public class ThreadPoolExecutorCtlAnalysis { private static final int COUNT_BITS = Integer.SIZE - 3; ...
[python-threadpoolctl_3.1.0-1.dsc] [python-threadpoolctl_3.1.0.orig.tar.gz] [python-threadpoolctl_3.1.0-1.debian.tar.xz] Maintainer: Ubuntu MOTU Developers (Mail Archive) Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly. Original ...
Using threadpoolctl may crash your program in such a setting. Fortunately this problem is very rare: at the time of writing, all major binary distributions of Python packages for Linux use either GCC or ICC to build the Python scientific packages. Therefore this problem would only happen if ...
python -m threadpoolctl -i numpy scipy.linalg [ { "filepath": "/home/ogrisel/miniconda3/envs/tmp/lib/libmkl_rt.so", "prefix": "libmkl_rt", "user_api": "blas", "internal_api": "mkl", "version": "2019.0.4", "num_threads": 2, "threading_layer": "intel" }, { "filepath"...