On Sat, Jul 22, 2017 at 10:50 PM, Ilhan Polat <ilhanpolat@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