Re: [Numpy-discussion] Performance of defmatrix.py:103(__array_finalize__)

[Travis O. <oli...@ee...>]

Kevin Jacobs <ja...@bi...> wrote:

> On 7/19/06, *Travis Oliphant* <oli...@ie... 
> <mailto:oli...@ie...>> wrote:
>
>     Kevin Jacobs <ja...@bi...
>     <mailto:ja...@bi...>> wrote:
>     > On 7/19/06, *Kevin Jacobs <ja...@bi...
>     <mailto:ja...@bi...>
>     > <mailto: ja...@bi...
>     <mailto:ja...@bi...>>>* <bio...@gm...
>     <mailto:bio...@gm...>
>     > <mailto:bio...@gm... <mailto:bio...@gm...>>>
>     wrote:
>     >
>     >     Is it expected that the following script would spend over
>     half of
>     >     the total execution time in
>     defmatrix.py:103(__array_finalize__)?
>     >
>     >
>     > Confirmed that a similar overhead exists for arrays, though not as
>     > extreme.  My application requires the ability to assign random
>     > elements, so any speed ups here will result be quite significant.
>     >
>     There is an optimization for this kind of assignment in current NumPy
>     SVN which "should" avoid the array creation over-head.
>
>
>
> There still seems to be a huge performance penalty with using a matrix 
> to set elements.  Consider this code where X is initially a matrix:


Are you now using SVN NumPy, or are we still looking at NumPy 0.9.8 numbers?

-Travis