[Numpy-discussion] Memory leak

[Charles R Harris]

On Thu, Jun 13, 2013 at 8:56 AM, Aron Ahmadia <aron at ahmadia.net> wrote:

> Hi Petro,
>
> What version of numpy are you running?
>
> A
>
>
> On Thu, Jun 13, 2013 at 3:50 PM, Pietro Bonfa' <pietro.bonfa at fis.unipr.it>wrote:
>
>> Dear Numpy users,
>>
>> I have a memory leak in my code. A simple way to reproduce my problem is:
>>
>> import numpy
>>
>> class test():
>>     def __init__(self):
>>         pass
>>
>>     def t(self):
>>         temp = numpy.zeros([200,100,100])
>>         A = numpy.zeros([200], dtype = numpy.float)
>>         for i in range(200):
>>             A[i] = numpy.sum( temp[i].diagonal() )
>>
>>         return A
>>
>> a = test()
>> c = [a.t() for i in range(100)]
>>
>> Running this script will require 1.5 Gb of memory since the 16 mb of
>> temp arrays are never deallocated.
>>
>> How can I solve this problem?
>>
>> Thanks in advances,
>> Pietro Bonfa'
>>
>>
>> P.S: I asked the same question also on stack overflow
>> (
>> http://stackoverflow.com/questions/17085197/is-this-a-memory-leak-python-numpy
>> )
>>
>>
IIRC, there was a memory leak with diagonal in 1.7.0 that was fixed in
1.7.1.

Chuck
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