我想知道使用 Python 的本地机器上的 CPU 数量。结果应该是在使用优化缩放的仅用户空间程序调用时的user/real输出。time(1)
user/real
time(1)
如果您对当前进程 可用的处理器数量感兴趣,则必须先检查 cpuset。否则(或者如果 cpuset 没有被使用),multiprocessing.cpu_count()这是 Python 2.6 和更新版本的方法。以下方法回退到旧版本 Python 中的几种替代方法:
multiprocessing.cpu_count()
import os import re import subprocess def available_cpu_count(): """ Number of available virtual or physical CPUs on this system, i.e. user/real as output by time(1) when called with an optimally scaling userspace-only program""" # cpuset # cpuset may restrict the number of *available* processors try: m = re.search(r'(?m)^Cpus_allowed:\s*(.*)$', open('/proc/self/status').read()) if m: res = bin(int(m.group(1).replace(',', ''), 16)).count('1') if res > 0: return res except IOError: pass # Python 2.6+ try: import multiprocessing return multiprocessing.cpu_count() except (ImportError, NotImplementedError): pass # https://github.com/giampaolo/psutil try: import psutil return psutil.cpu_count() # psutil.NUM_CPUS on old versions except (ImportError, AttributeError): pass # POSIX try: res = int(os.sysconf('SC_NPROCESSORS_ONLN')) if res > 0: return res except (AttributeError, ValueError): pass # Windows try: res = int(os.environ['NUMBER_OF_PROCESSORS']) if res > 0: return res except (KeyError, ValueError): pass # jython try: from java.lang import Runtime runtime = Runtime.getRuntime() res = runtime.availableProcessors() if res > 0: return res except ImportError: pass # BSD try: sysctl = subprocess.Popen(['sysctl', '-n', 'hw.ncpu'], stdout=subprocess.PIPE) scStdout = sysctl.communicate()[0] res = int(scStdout) if res > 0: return res except (OSError, ValueError): pass # Linux try: res = open('/proc/cpuinfo').read().count('processor\t:') if res > 0: return res except IOError: pass # Solaris try: pseudoDevices = os.listdir('/devices/pseudo/') res = 0 for pd in pseudoDevices: if re.match(r'^cpuid@[0-9]+$', pd): res += 1 if res > 0: return res except OSError: pass # Other UNIXes (heuristic) try: try: dmesg = open('/var/run/dmesg.boot').read() except IOError: dmesgProcess = subprocess.Popen(['dmesg'], stdout=subprocess.PIPE) dmesg = dmesgProcess.communicate()[0] res = 0 while '\ncpu' + str(res) + ':' in dmesg: res += 1 if res > 0: return res except OSError: pass raise Exception('Can not determine number of CPUs on this system')