I've been wishing we'd stop shipping Accelerate for years, because of how it breaks multiprocessing – that doesn't seem to be on your list yet.
On Sat, Jul 22, 2017 at 3:50 AM, Ilhan Polat <ilhanpo...@gmail.com> wrote: > A few months ago, I had the innocent intention to wrap LDLt decomposition > routines of LAPACK into SciPy but then I am made aware that the minimum > required version of LAPACK/BLAS was due to Accelerate framework. Since then > I've been following the core SciPy team and others' discussion on this > issue. > > We have been exchanging opinions for quite a while now within various SciPy > issues and PRs about the ever-increasing Accelerate-related issues and I've > compiled a brief summary about the ongoing discussions to reduce the > clutter. > > First, I would like to kindly invite everyone to contribute and sharpen the > cases presented here > > https://github.com/scipy/scipy/wiki/Dropping-support-for-Accelerate > > The reason I specifically wanted to post this also in NumPy mailing list is > to probe for the situation from the NumPy-Accelerate perspective. Is there > any NumPy specific problem that would indirectly effect SciPy should the > support for Accelerate is dropped? > > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion > -- Nathaniel J. Smith -- https://vorpus.org _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
