[Numpy-discussion] Memory hungry reduce ops in Numpy

Andreas Müller amueller@ais.uni-bonn...
Mon Nov 14 06:46:50 CST 2011


Hi everybody.
When I did some normalization using numpy, I noticed that numpy.std uses
more ram than I was expecting.
A quick google search gave me this:
http://luispedro.org/software/ncreduce
The site claims that std and other reduce operations are implemented
naively with many temporaries.
Is that true? And if so, is there a particular reason for that?
This issues seems quite easy to fix.
In particular the link I gave above provides code.
Cheers,
Andy


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