Hi all-
I think I just found a memory leak in numpy, or maybe I just don’t understand
generators. Anyway, the following snippet will quickly eat a ton of RAM:
P = randint(0,2, (20,13))
for i in range(50):
for ai in ndindex((2,)*13):
j = P.dot(ai)
If you replace the last line with something like j = ai, the memory leak goes
away. I’m not exactly sure what’s going on but the .dot seems to be causing the
memory taken by the tuple ai to be held.
This devours RAM in python 2.7.5 (OS X Mavericks default I believe), numpy
version 1.8.0.dev-3084618. I’m upgrading to the latest Superpack (numpy 1.9)
right now but I somehow doubt this behavior will change.
Any thoughts?
Best, Chris
--
Chris Laumann
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