[Numpy-discussion] Memory hungry reduce ops in Numpy
Mon Nov 14 06:46:50 CST 2011
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:
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.
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