On Mon, 2023-05-29 at 10:55 +1000, Juan Nunez-Iglesias wrote:
> Hi folks,
>
> Apologies if this is documented somewhere, but I haven't been able to
> find it. I've read through NEP-42 [1] and skimmed NEP-41 [2], but I'm
> not sure:
>
> (a) at what point of implementation we are, and
> (b) if it's
Thanks so much everyone!
On Mon, May 29, 2023 at 9:00 AM Ross Barnowski wrote:
> Welcome Nathan!
>
> On Mon, May 29, 2023 at 7:47 AM Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Mon, May 29, 2023 at 1:15 AM Sebastian Berg <
>> sebast...@sipsolutions.net> wrote:
>>
>>> Hi
Thanks for the response, Sebastian! I'll keep an eye out on that repo. Should
there be (is there already) a link to it from the docs?
On Tue, 30 May 2023, at 6:21 PM, Sebastian Berg wrote:
> On Mon, 2023-05-29 at 10:55 +1000, Juan Nunez-Iglesias wrote:
>> Hi folks,
>>
>> Apologies if this is doc
Hi all,
there was recently a PR to NumPy to improve the performance of sin/cos
on most platforms (on my laptop it seems to be about 5x on simple
inputs).
This changes the error bounds on platforms that were not previously
accelerated (most users):
https://github.com/numpy/numpy/pull/23399
Th
For me it is indeed too surprising, and I would be in favour of reverting.
On Wed, 31 May 2023, at 3:55 PM, Sebastian Berg wrote:
> Hi all,
>
> there was recently a PR to NumPy to improve the performance of sin/cos
> on most platforms (on my laptop it seems to be about 5x on simple
> inputs).
> Th
On Wed, 31 May 2023, at 4:11 PM, Juan Nunez-Iglesias wrote:
> For me it is indeed too surprising, and I would be in favour of reverting.
(👆 Incidentally I wrote that before seeing
https://github.com/scikit-image/scikit-image/pull/6970 😂)
> On Wed, 31 May 2023, at 3:55 PM, Sebastian Berg wrote:
>
Hi Sebastian,
Could you clarify whether there are now varying code paths, depending on the
CPU features available?
As mentioned on the skimage issue, if results differ but errors are reduced
across the board, I'd be happy to fix the test suite. But if this simply
jiggers results, I'm less su
Hi Sebastian,
I had a quick look at the PR and it looks like you re-implemented the sin-cos
function using SIMD.
I wonder how it compares with SLEEF (header only library,
CPU-architecture agnostic SIMD implementation of transcendental
functions with precision validation). SLEEF is close to the In
On Tue, 2023-05-30 at 23:31 -0700, Stefan van der Walt wrote:
> Hi Sebastian,
>
> Could you clarify whether there are now varying code paths, depending
> on the CPU features available?
There is less variation then before because the new code path will be
taken on practically all CPUs and I wou
