Program eating memory, but only on one machine? (Solved, sort of)
robert.kern at gmail.com
Mon Jan 22 21:14:59 CET 2007
Per B.Sederberg wrote:
> Per B.Sederberg <persed <at> princeton.edu> writes:
>> I'll see if I can make a really small example program that eats up memory on
>> our cluster. That way we'll have something easy to work with.
> Now this is weird. I figured out the bug and it turned out that every time you
> call numpy.setmember1d in the latest stable release of numpy it was using up a
> ton of memory and never releasing it.
Hmm. With a recent checkout from SVN, I don't see any memory increase.
In : from numpy import *
In : ar1 = arange(1000000)
In : ar2 = arange(3, 7)
In : import itertools
In : for i in itertools.count(1):
....: if not i % 1000:
....: print i
....: x = setmember1d(ar1, ar2)
"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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