On Thu, 2022-11-03 at 11:37 +0100, Oscar Gustafsson wrote:
> Hi all,
>
> I hope this is the correct way to propose a new feature.
> https://github.com/numpy/numpy/issues/22522
>
Thanks for the proposal. I don't have much of an opinion on this and
right now I am mainly wondering whether there is
Hello,
Here at Arm, we've been investigating how we can improve performance on
AArch64. One way in which we can improve performance is by integrating some
existing optimized routines
(https://github.com/ARM-software/optimized-routines), similar to the SVML
methods for AVX512 that are currently
Thanks, this seems like it would improve performance on aarch64. Would
the routines also work with the Apple silicon arm64?
If these are new routines, it would be better to implement them in terms
of the numpy universal intrinsics rather than adding a new submodule.
Matti
On 8/11/22 13:30,
Since I am still a bit on the fence with the deprecation (see also
below), to mostly make the following Python integer conversions an
error (for now deprecation):
np.uint8(-1)
np.array(5, dtype=np.int8)
I have created a Poll about the change in case anyone wants to give
feedback but f
