On 8/17/06, Robert Kern <[EMAIL PROTECTED]> wrote:
Thanks Robert.
I decided to upgrade to 1.0b2 just to see what I get and now I get 7kB of "possibly lost" memory, coming from PyObject_Malloc (in /usr/lib/libpython2.4.so.1.0). This is a constant 7kB, however, and it isn't getting any larger if I increase the loop iterations. Looks good then. I don't really know the meaning of this "possibly lost" memory.
David Grant wrote:
> Hello all,
>
> I had a massive memory leak in some of my code. It would basically end
> up using up all 1GB of my RAM or more if I don't kill the application. I
> managed to finally figure out which portion of the code was causing the
> leak (with great difficulty) and have a little example which exposes the
> leak. I am using numpy-0.9.8 and I'm wondering if perhaps this is
> already fixed in 1.0b2. Run this through valgrind with appropriate
> options (I used the recommended valgrind_py.sh that I found on scipy's
> site somewhere) and this will leak 100kB. Increase the xrange on the big
> loop and you can watch the memory increase over time in top.
I don't see a leak in 1.0b2.dev3002.
Thanks Robert.
I decided to upgrade to 1.0b2 just to see what I get and now I get 7kB of "possibly lost" memory, coming from PyObject_Malloc (in /usr/lib/libpython2.4.so.1.0). This is a constant 7kB, however, and it isn't getting any larger if I increase the loop iterations. Looks good then. I don't really know the meaning of this "possibly lost" memory.
--
David Grant
http://www.davidgrant.ca
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