Re: [Numpy-discussion] Using OpenBLAS for manylinux wheels

2016-03-30 Thread Matthew Brett
On Wed, Mar 30, 2016 at 2:39 PM, Carl Kleffner wrote: > I would like to see OpenBLAS support for numpy on windows. The latest > OpenBLAS windows builds numpy support for are on > https://bitbucket.org/carlkl/mingw-w64-for-python/downloads now. Scipy > wheels should work regardless if numpy was bui

Re: [Numpy-discussion] Using OpenBLAS for manylinux wheels

2016-03-30 Thread Carl Kleffner
I would like to see OpenBLAS support for numpy on windows. The latest OpenBLAS windows builds numpy support for are on https://bitbucket.org/carlkl/mingw-w64-for-python/downloads now. Scipy wheels should work regardless if numpy was build with MSVC or with mingwpy. It is only mandantory to agree ab

Re: [Numpy-discussion] Using OpenBLAS for manylinux wheels

2016-03-30 Thread Nathaniel Smith
If OpenBLAS is looking like the easiest to support solution, then no objections here. (If 0.2.17 is genuinely working well, then maybe we want to switch to it on Windows too. I know Xianyi disabled some of the problematic kernels for us -- maybe that's enough. Mostly I just don't want to end up in

[Numpy-discussion] change to memmap subclass propagation

2016-03-30 Thread Allan Haldane
Hi all, This is a warning for a planned change to np.memmap in https://github.com/numpy/numpy/pull/7406. The return values of ufuncs and fancy slices of a memmap will now be plain ndarrays, since those return values don't point to mem-mapped memory. There is a possibility that if you are subclas

Re: [Numpy-discussion] Using OpenBLAS for manylinux wheels

2016-03-30 Thread Freddy Rietdijk
On Nix/NixOS we've been using OpenBLAS 0.2.14 for some time now because we had some segmentation faults with 0.2.15 and scipy/scikitlearn. I've tested the packages you listed, and more, with OpenBLAS 0.2.17 and encountered no problems. On Wed, Mar 30, 2016 at 1:32 PM, Olivier Grisel wrote: > The

Re: [Numpy-discussion] Using OpenBLAS for manylinux wheels

2016-03-30 Thread Olivier Grisel
The problem with the gfortran failures will be tackled by renaming the vendored libgfortran.so library, see: https://github.com/pypa/auditwheel/issues/24 This is orthogonal to the ATLAS vs OpenBLAS decision though. -- Olivier ___ NumPy-Discussion mail