[Numpy-discussion] Memory hungry reduce ops in Numpy
Mon Nov 14 09:23:20 CST 2011
On Mon, Nov 14, 2011 at 12:46 PM, Andreas Müller
> 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:
> 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.
The code provided only implements a few special cases: being more
efficient in those cases only is indeed easy.
More information about the NumPy-Discussion