On Sat, Jul 22, 2017 at 10:50 PM, 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? > An update on this: discussion on https://github.com/scipy/scipy/pull/6051 has mostly converged, and we're about to decide to start requiring a higher LAPACK version (after 1.0, no changes for the next release). Looks like that'll be LAPACK 3.4.0 for now. Cheers, Ralf
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