【python实现】实时监测GPU，空闲时自动执行脚本

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代码

# author: muzhan
# contact: [e-mail]
import os
import sys
import time
cmd = 'nohup python -u train_post_2d_aut.py > output1.log &'    # gpu空闲时，需要执行的脚本命令
def gpu_info():gpu_status = os.popen('nvidia-smi | grep %').read().split('|')# 监控2号gpugpu_memory = int(gpu_status[10].split('/')[0].split('M')[0].strip())                   # max:12288gpu_power = int(gpu_status[9].split('   ')[-1].split('/')[0].split('W')[0].strip())   # max:250# 监控3号gpu# gpu_memory = int(gpu_status[14].split('/')[0].split('M')[0].strip())  # max:12288# gpu_power = int(gpu_status[13].split('   ')[-1].split('/')[0].split('W')[0].strip())# 获取空闲的功率和内存power_all, memory_all = 250, 12288       # gpu功率和内存的最大值power_free = power_all - gpu_powermemory_free = memory_all - gpu_memoryreturn power_free, memory_free
def narrow_setup(interval=2):power_free, memory_free = gpu_info()i = 0while not (memory_free > 7000 and power_free > 175):  # 如果空闲的内存和功率大于指定阈值，就执行cmd脚本power_free, memory_free = gpu_info()i = i % 10symbol = 'monitoring: ' + '>' * i + ' ' * (10 - i - 1) + '|'gpu_power_str = 'gpu power_free:%d W |' % power_freegpu_memory_str = 'gpu memory_free:%d MiB |' % memory_freesys.stdout.write('\r' + gpu_memory_str + ' ' + gpu_power_str + ' ' + symbol)sys.stdout.flush()time.sleep(interval)     # 每2s检测一次i += 1print('\n' + cmd)os.system(cmd)if __name__ == '__main__':narrow_setup()