On Wed, Jun 26, 2013 at 7:30 AM, mark florisson
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 not 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
On 26 June 2013 09:05, Dag Sverre Seljebotn
wrote: than have a badly supported feature).
My understanding is that Numba is based on minivect and not on dynd, so it's 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 :)).
Hi, 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 example: (x ** 2).sum(1) or (x ** 2).sum() Is pykit or Numba IR ready for that? thanks Frédéric