[Numpy-discussion] low level optimization in NumPy and minivect
Wed Jun 26 19:48:56 CDT 2013
On Wed, Jun 26, 2013 at 7:30 AM, mark florisson
> On 26 June 2013 09:05, Dag Sverre Seljebotn <email@example.com>
> > On 06/25/2013 04:21 PM, Frédéric Bastien wrote:
> >> Hi,
> >> I wasn't able to attend this year Scipy Conference. My tutorial proposal
> >> was rejected and other deadline intefered with this conference date.
> >> Will the presentation be recorded? If not, can you make the slide
> >> available?
> >> What is your opinion on this question:
> >> - Should other lib like NumPy/Theano/Cython/Numba base their elemwise
> >> implemention (or part of it) on dynd or minivect? I know cython and
> >> Numba do it, but it was before dynd and I don't know where dynd fit in
> >> the big picture. Do dynd reuse minivect itself?
> > Actually, I think the Cython branch with minivect support was in the end
> > merged, due to lack of interest/manpower to maintain support for
> > vectorization in the long term (so it was better to not add the feature
> > have a badly supported feature).
> > My understanding is that Numba is based on minivect and not on dynd, so
> > more of a competitor.
> > Perhaps Mark Florisson will be able to comment.
> > Dag Sverre
> Hey Dag,
> Indeed, numba uses it for its array expression support, but it will
> likely remove the minivect dependency and generate a simple loop nest
> for now. I'm working on pykit now
> (https://github.com/ContinuumIO/pykit) which similarly to minivect
> defines its own intermediate representation, with array expressions in
> the form of map/reduce/scan/etc functions. The project has a broader
> scope than minivect, to be used by projects like numba, what but a
> "minivect baked in".
> As such, minivect isn't really maintained any longer, and I wouldn't
> recommend anyone using the code at this point (just maybe some of the
> ideas :)).
thanks for the information. I checked the repo rapidly and didn't found
information on how to use it the way I expect to use it. I would like to be
able to take a small Theano graph (like just elemwise operation) and make a
graph in it to have it generate the c code. Do you have some
tests/tests/doc that demonstrate something in that direction?
Ideally I would like to be able to implement something like this simple
(x ** 2).sum(1) or (x ** 2).sum()
Is pykit or Numba IR ready for that?
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the NumPy-Discussion