[Numpy-discussion] Memory leak in signal.convolve2d? Alternative?
David Reichert
d.p.reichert@sms.ed.ac...
Tue Mar 9 18:13:26 CST 2010
Hi,
Just another update:
signal.convolve and signal.fftconvolve indeed do not seem to have the
problem,
however, they are slower by at least a factor of 2 for my situation.
Moreover, I also tried out the numpy 1.4.x branch and the latest scipy svn,
and a short test seemed to indicate that the memory leak still was present
(albeit, interestingly, memory usage grew much slower), but then something
else stopped working in my main program, so I converted back to scipy 7.1
and numpy 1.3.0 for now.
I might have confused things somewhere along the line, though, I'm
not an expert with these things. Maybe other people can confirm the problem
one way or another.
Thanks,
David
On Tue, Mar 9, 2010 at 9:32 PM, <josef.pktd@gmail.com> wrote:
> On Tue, Mar 9, 2010 at 4:24 PM, David Reichert
> <d.p.reichert@sms.ed.ac.uk> wrote:
> > Hm, upgrading scipy from 0.7.0 to 0.7.1 didn't do the trick for me (still
> > running numpy 1.3.0).
> > I'm not sure if I feel confident enough to use developer versions, but
> I'll
> > look into it.
>
> If you don't need the extra options, you could also use in the
> meantime the nd version signal.convolve
> or the fft version signal.fftconvolve
>
> Josef
>
> >
> > Cheers
> >
> > David
> >
> > On Tue, Mar 9, 2010 at 7:57 PM, Robert Kern <robert.kern@gmail.com>
> wrote:
> >>
> >> On Tue, Mar 9, 2010 at 13:49, David Reichert <d.p.reichert@sms.ed.ac.uk
> >
> >> wrote:
> >> > Hi,
> >> >
> >> > I just reported a memory leak with matrices, and I might have found
> >> > another (unrelated) one in the convolve2d function:
> >> >
> >> > import scipy.signal
> >> > from numpy import ones
> >> >
> >> > while True:
> >> > scipy.signal.convolve2d(ones((1,1)), ones((1,1)))
> >>
> >> This does not leak for me using SVN versions of numpy and scipy. I
> >> recommend upgrading.
> >>
> >> --
> >> Robert Kern
> >>
> >> "I have come to believe that the whole world is an enigma, a harmless
> >> enigma that is made terrible by our own mad attempt to interpret it as
> >> though it had an underlying truth."
> >> -- Umberto Eco
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