Subject: Re: [Numpy-discussion] Memory leak in numpy?
On 29.01.2014 20:44, Nathaniel Smith wrote:
> On Wed, Jan 29, 2014 at 7:39 PM, Joseph McGlinchy wrote:
>> Upon further investigation, I do believe it is within the scipy code
>> where there is a leak. I commented
On 29.01.2014 20:44, Nathaniel Smith wrote:
> On Wed, Jan 29, 2014 at 7:39 PM, Joseph McGlinchy wrote:
>> Upon further investigation, I do believe it is within the scipy code where
>> there is a leak. I commented out my call to processBinaryImage(), which is
>> all scipy code calls, and my memory
On Wed, Jan 29, 2014 at 7:39 PM, Joseph McGlinchy wrote:
> Upon further investigation, I do believe it is within the scipy code where
> there is a leak. I commented out my call to processBinaryImage(), which is
> all scipy code calls, and my memory usage remains flat with approximately a
> 1MB var
Subject: Re: [Numpy-discussion] Memory leak in numpy?
Perhaps it is an ESRI/Arcpy issue then. I don't see anything that could be
doing that, though, as it is very minimal.
From:
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on of Numerical Python
Subject: Re: [Numpy-discussion] Memory leak in numpy?
Hmmm, I see no reason why that would eat up memory. I just tried it out on my
own system (numpy 1.6.1, CentOS 6, python 2.7.1), and had no issues, Memory
usage stayed flat for the 10 seconds it took to go through the loop.
Hmmm, I see no reason why that would eat up memory. I just tried it out on
my own system (numpy 1.6.1, CentOS 6, python 2.7.1), and had no issues,
Memory usage stayed flat for the 10 seconds it took to go through the
loop. Note, I am not using ATLAS or BLAS, so maybe the issue lies there?
(i don'
Hi all-
I think I just found a memory leak in numpy, or maybe I just don’t understand
generators. Anyway, the following snippet will quickly eat a ton of RAM:
P = randint(0,2, (20,13))
for i in range(50):
for ai in ndindex((2,)*13):
j = P.dot(ai)
If you replace the last line with
On Fri, Mar 9, 2012 at 3:07 PM, FRENK Andreas wrote:
> Dear Community,
>
>
>
> I have an issue with numpy consuming more and more memory.
>
> According to ticket: http://projects.scipy.org/numpy/ticket/1427
>
>
>
> This is a known issue. It should be fixed in 2.0.0.dev-9451260. What does
> this
Dear Community,
I have an issue with numpy consuming more and more memory.
According to ticket: http://projects.scipy.org/numpy/ticket/1427
This is a known issue. It should be fixed in 2.0.0.dev-9451260. What does this
mean? It sound like a development release.
Is there any chance to fix it in 1
