Hello,
TACO consists of three things:
An array API
A scheduling language
A language for describing sparse modes of the tensor
So it combines arrays with scheduling, and also sparse tensors for a lot of
different applications. It also includes an auto-scheduler. The code thus
generated is on par
I'm imagining a study on programmer and maintainer's time spent on a given
problem, tackled in different programming languages, maybe Python can be shown
to reduce GHG on the contrary.
It goes like this: Many human programmers/administrators/managers eat beef or
likes as they grow up, as cattle
Great to know.
Skimmed through the project readme, so TACO currently generating C code as
intermediate language, if the purpose is about tensors, why not Numba's
llvmlite for it?
I'm aware that the scheduling code tend not to be array programs, and llvmlite
may have tailored too much to optim
Yeah, I get it. llvmlite would only do composition, while TACO is doing fusion.
This is more promising!
Best regards,
Compl
> On 2020-11-25, at 17:17, Hameer Abbasi wrote:
>
>
> Hello,
>
> TACO consists of three things:
> An array API
> A scheduling language
> A language for describing spa
On Wed, Nov 25, 2020 at 1:05 AM Sebastian Berg
wrote:
> Hi all,
>
> There will be a NumPy Community meeting Wednesday November 25th at 12pm
> Pacific Time (19:00 UTC).
Should be 20:00 UTC (~1.5 hrs from now)
Cheers,
Ralf
Everyone is invited and encouraged to
> join in and edit the work-in-pro
