which version of numpy are you using? there seems to be a leak in the scalar return due to the PyObject_Malloc usage in git master, but it doesn't affect 1.8.0
On Fri, Jan 31, 2014 at 7:20 AM, Chris Laumann <chris.laum...@gmail.com>wrote: > Hi all- > > The following snippet appears to leak memory badly (about 10 MB per > execution): > > P = randint(0,2,(30,13)) > > for i in range(50): > print "\r", i, "/", 50 > for ai in ndindex((2,)*13): > j = np.sum(P.dot(ai)) > > If instead you execute (no np.sum call): > > P = randint(0,2,(30,13)) > > for i in range(50): > print "\r", i, "/", 50 > for ai in ndindex((2,)*13): > j = P.dot(ai) > > There is no leak. > > Any thoughts? I'm stumped. > > Best, Chris > > -- > Chris Laumann > Sent with Airmail > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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