通过ctypes 类库中的win32方法GetProcessMemoryInfo()获得当前进程的内存使用情况。该函数可以在32或者64位,python2.6+及python3.x之上都能有用。 """Functions for getting memory usage of Windows processes."""__all__= ['get_current_process','get_memory_info','get_memory_usage']importctypesfromctypesi...
代码如下: memory_usage=get_memory_usage()print(f"程序占用显存:{memory_usage}bytes") 1. 2. 上述代码会调用get_memory_usage()函数来获取程序占用的显存大小,并使用print()函数来输出结果。 4. 类图 下面是本文中涉及的类的类图,它展示了类之间的关系和属性方法。 psutil+Process()Process+memory_info()t...
rss_memory =int(output.strip()) /1024print(f"Memory usage:{rss_memory:.2f}MB") time.sleep(1)exceptsubprocess.CalledProcessError:print(f"Process with PID{pid}does not exist.")breakif__name__ =="__main__": pid =int(input("Enter the PID of the process to monitor: ")) monitor_pro...
psutil是一个跨平台的进程和系统监控库,可以用于获取系统的各种信息,包括内存占用情况。我们可以使用psutil库中的Process类来获取当前进程的内存占用情况。 importpsutil process=psutil.Process()memory_info=process.memory_info()print(f"The memory usage of the current process is:{memory_info.rss}bytes") 1. ...
get_process_memory函数通过psutil.Process(os.getpid())获取当前进程的详细信息，然后通过.memory_info(...
Generator, (function that use yield instead of return) Return sends a specified value back to its caller whereas Yield can produce a sequence of values. We should use yield when we want to iterate over a sequence, but don't want to store the entire sequence in memory. ...
process = psutil.Process(os.getpid()) mem = process.memory_info()[0] / float(2 ** 20) return mem def get_current_obj(a=[]): a.append([0]*1000) return a def main(): obj = [] for i in range(10000): obj = get_current_obj(obj) if(i%100==0): print(memory_usage_psuti...
for_inrange(100):# 假设这是程序的一个循环过程obj=process_data()# 创建大量短生命周期的对象 在这个过程中,大多数process_data()函数返回的对象在每次循环迭代结束时会失去所有引用,成为垃圾。由于这些对象位于年轻代,垃圾回收器可以高效地识别并回收它们。
defmonitor_memory_usage():process=psutil.Process()memory_usage=process.memory_info().rss/1024/1024# 获取内存使用情况(MB)returnmemory_usageprint("Memory Usage:",monitor_memory_usage(),"MB") 并发和异步编程中的内存管理 线程安全的内存管理:在多线程环境中,需要注意内存管理的线程安全性,避免出现竞态条...
To create a report that combines memory usage of all the children and the parent, use theinclude-childrenflag in either theprofiledecorator or as a command line argument tomprof: mprof run --include-children The second method tracks each child independently of the main process, serializing ...