On Tue, May 9, 2023 at 12:13 PM Ralf Gommers wrote:
>
>
> On Tue, May 9, 2023 at 5:11 AM Jerry Morrison <
> jerry.morrison+nu...@gmail.com> wrote:
>
>> This sounds terrific. Is there a technique to get such a performance
>> improvement with Accelerate?
>>
>> We tried:
>>
>> pip install numpy==1.2
On Tue, May 9, 2023 at 5:11 AM Jerry Morrison <
jerry.morrison+nu...@gmail.com> wrote:
> This sounds terrific. Is there a technique to get such a performance
> improvement with Accelerate?
>
> We tried:
>
> pip install numpy==1.24.3 --no-binary numpy
>
>
> with and without a ~/.numpy-site.cfg file
This sounds terrific. Is there a technique to get such a performance
improvement with Accelerate?
We tried:
pip install numpy==1.24.3 --no-binary numpy
with and without a ~/.numpy-site.cfg file that sets
[accelerate]
libraries = Accelerate, vecLib
on Intel and M2 Macs on macOS 13.3. While np
On Thu, Mar 23, 2023 at 10:43 AM Clemens Brunner
wrote:
> Thanks Ralf, this sounds great! Just making sure I understand, this means
> that for macOS 13, we have to enable Accelerate by building NumPy from
> source.
Indeed. Either that, or use a packaging system that's more capable in this
regar
Thanks Ralf, this sounds great! Just making sure I understand, this means that
for macOS 13, we have to enable Accelerate by building NumPy from source. Once
macOS 13.3 is out, building SciPy from source will also link to Accelerate.
Finally, Accelerate support will be enabled by default in bina
On Thu, Mar 23, 2023 at 1:55 AM Clemens Brunner
wrote:
> Hello!
>
> I recently got a new MacBook Pro with an M2 Pro CPU (ARM64). When I ran
> some numerical computations (ICA to be precise), I was surprised how slow
> it was - way slower than e.g. my almost 10 year old Intel Mac. It turns out
> t