On Mon, Sep 24, 2012 at 07:59:11PM +0100, Nathaniel Smith wrote:
> > which means I probably forgot a DECREF while doing the
> > PyArray_Diagonal changes...
> Yep: https://github.com/numpy/numpy/pull/457
Awesome. I can confirm that this fixes the problem. Script below to check.
You are my hero!
On Mon, Sep 24, 2012 at 7:45 PM, Nathaniel Smith wrote:
> On Mon, Sep 24, 2012 at 7:19 PM, Gael Varoquaux
> wrote:
>> Hi Fred,
>>
>> On Mon, Sep 24, 2012 at 02:17:16PM -0400, Frédéric Bastien wrote:
>>> with numpy '1.6.1', I have no problem.
>>
>>> With numpy 1.7.0b2, I can reproduce the problem.
On Mon, Sep 24, 2012 at 7:19 PM, Gael Varoquaux
wrote:
> Hi Fred,
>
> On Mon, Sep 24, 2012 at 02:17:16PM -0400, Frédéric Bastien wrote:
>> with numpy '1.6.1', I have no problem.
>
>> With numpy 1.7.0b2, I can reproduce the problem.
>
> OK, thanks. I think that I'll start a bisect to figure out whe
Hi Fred,
On Mon, Sep 24, 2012 at 02:17:16PM -0400, Frédéric Bastien wrote:
> with numpy '1.6.1', I have no problem.
> With numpy 1.7.0b2, I can reproduce the problem.
OK, thanks. I think that I'll start a bisect to figure out when it crept
in.
Gael
__
Hi,
with numpy '1.6.1', I have no problem.
With numpy 1.7.0b2, I can reproduce the problem.
HTH
Fred
On Mon, Sep 24, 2012 at 1:04 PM, Gael Varoquaux
wrote:
> Hi list,
>
> I think that I am hit a memory leak with numpy master. The following code
> enables to reproduce it:
>
>
Hi list,
I think that I am hit a memory leak with numpy master. The following code
enables to reproduce it:
import numpy as np
n = 100
m = np.eye(n)
for i in range(3):
#np.linalg.slogdet(m)
t, result_t =
