Question

这是我的近似工作流程

import multiprocessing as mp
import pickle
import numpy as np
import psutil

test = [np.random.choice(range(1, 1000), 1000000) for el in range(1,1000)]
step_size = 10**4
for i in range(0,len(test), step_size):
    p = mp.Pool(10)
    temp_list = test[i:i+step_size]
    results = p.map(some_function, temp_list)

    gc.collect()
    mem = psutil.virtual_memory()
    print('Memory available in GB' + str(mem.available/(1024**3)))

    with open('file_to_store'+ str(int(i/(step_size))+'.pickle', 'wb') as f:
            pickle.dump(results, f)
    p.close()

它会生成以下输出

Memory available in GB36.038265228271484
Memory available in GB23.011260986328125
Memory available in GB9.837642669677734

然后错误：

---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
<ipython-input-9-d17700b466c3> in <module>()
    260 
    261         with open(file_path_1+str(int(i/step_size))+'.pickle', 'wb') as f:
--> 262             pickle.dump(vec_1, f)
    263         with open(file_path_2+str(int(i/step_size))+'.pickle', 'wb') as f:
    264             pickle.dump(vec_2, f)

MemoryError:

some_function执行一些小的处理，并且不会创建任何可以挂在内存中的全局变量。

我不明白为什么可用内存量减少以及内存耗尽的原因？

RAM python耗尽 - 它去了哪里

0 个答案: