await asyncio.sleep(1) async def monitor_memory(process_id, duration): process = psutil.Process(process_id) start_time = time.time() while time.time() - start_time < duration: memory_info = process.memory_info() memory_percent = process.memory_percent() print(f"内存使用量: {memory_inf...
defmonitor_memory(process_id,duration):process=psutil.Process(process_id)start_time=time.time()whiletime.time()-start_time<duration:memory_info=process.memory_info()memory_percent=process.memory_percent()print(f"内存使用量: {memory_info.rss / (1024 * 1024):.2f} MB")print(f"内存使用率: {...
memory_info=pynvml.nvmlDeviceGetMemoryInfo(handle)total_memory=memory_info.total used_memory=memory_info.used free_memory=total_memory-used_memory 1. 2. 3. 4. 这四行代码使用显卡的句柄来获取显存的信息,包括总大小和已使用大小。 print("显存剩余大小:"+str(free_memory)+" bytes") 1. 这行代码将...
info = psutil.virtual_memory() print(u'内存使用:',psutil.Process(os.getpid()).memory_info().rss/1024/1024/1024) print(u'总内存:',info.total/1024/1024/1024) print(u'内存占比:',info.percent) print(u'cpu个数:',psutil.cpu_count()) 1. 2. 3. 4. 5. 6. 7. 命令行 查看CPU信息(...
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(...
show_memory_info('initial') a = [iforiinderange(10000000)] show_memory_info('after a created')returna a = func() show_memory_info('finished') 这是最常见的几种情况。 python内部的引用计数机制 importsys a = []# 两次引用,一次来自 a,一次来自 getrefcountprint(sys.getrefcount(a))deffunc...
Process(pid) # 获取进程的内存使用情况 memory_info = process.memory_info() # 打印内存使用情况 print("内存使用情况:") print(" - 物理内存使用:", memory_info.rss, "bytes") print(" - 虚拟内存使用:", memory_info.vms, "bytes") 上述代码中,首先导入了psutil库。然后,通过psutil.Process().pid...
monitor_memory(target_process_id, monitoring_duration) 其中rss属性可以获取实际使用物理内存,memory_info() 获取进程的内存信息,简短的代码就实现了内存监控,可以自己适当扩展了。 监控IO使用率 psutil库的io_counters()方法可以监控进程的IO操作,废话不多说,上代码: import psutil import os import time def monit...
) print("cpu逻辑个数:",cpu1)def get_mem_info(): mem = psutil.virtual_memory() mem1 = str(mem.total/1024/1024/1024) mem2 = str(mem.free/1024/1024/1024) print("内存总数为:",mem1[0:3],"G") print("空闲内存总数:", mem2[0:3], "G")get_cpu_info()get_mem_info(...
memory_usage = "%.2f%%" % (float(memory_info['used']) * 100 / float(memory_info['total'])) swap_info = getVirtualMemory() swap_usage = "%.2f%%" % (float(swap_info['used']) * 100 / float(swap_info['total'])) local_ip_address = getLocalIP() ...