Python 调用scipy函数后的内存使用情况

执行每个语句后，请考虑以下代码的内存使用情况：

import numpy
import scipy.signal
import gc

# memory at this point is ~35mb

a = numpy.ones(10**7)
b = numpy.ones(10**7)

# memory at this point is ~187mb

c = scipy.signal.fftconvolve(a, numpy.flipud(b), mode="full")

# memory usage at this point is 645mb
# given that a,b,c take up about 305mb in total, this is much
# larger than expected

# If we delete a,b,c and garbage collect...

del a,b,c
gc.collect()

# ...the memory usage drops to ~340mb which is a drop of 305mb
# (as expected since that is the size of what we deleted)
# but the remaining memory usage is still 340mb
# which is much larger than the starting value of 35 mb

为什么进程使用了这么多额外的内存。fftconvolve函数是否存在漏洞，或者是否有其他解释

站台：

• CPython 3.5.1 x64
• Scipy 0.17.0（Christoph Golke的软件包）
• Numpy+MKL 1.11.0rc1（克里斯托夫·高尔克套餐）
• Windows 8.1 x64