Package Details: python-numpy-mkl 1.26.4-3

Git Clone URL: https://aur.archlinux.org/python-numpy-mkl.git (read-only, click to copy)
Package Base: python-numpy-mkl
Description: Scientific tools for Python, compiled with Intel MKL
Upstream URL: https://numpy.org
Keywords: numpy
Licenses: BSD-3-Clause
Conflicts: python-numpy
Provides: python-numpy
Submitter: bred
Maintainer: petronny (AutoUpdateBot, carlosal1015)
Last Packager: carlosal1015
Votes: 38
Popularity: 0.000000
First Submitted: 2012-08-25 16:55 (UTC)
Last Updated: 2024-05-09 12:19 (UTC)

Required by (1829)

Sources (1)

Pinned Comments

petronny commented on 2022-09-28 08:28 (UTC)

Prebuilt binaries of this package can be found in arch4edu.

Latest Comments

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<deleted-account> commented on 2016-02-25 14:44 (UTC)

and can this package be compiled using -iopm5 instead of -openmp ?

<deleted-account> commented on 2016-02-25 14:32 (UTC)

@trovao Thanks ! I install the patchelfmod in aur (this package needs update, for example the pkgname is patchelfmod however the source dir is patchelf), and numpy.test() works fine. and i think a patch in linking to libirc.so is needed :) anyway, thanks for your solution !

<deleted-account> commented on 2016-02-25 14:18 (UTC)

@trovao I can only find patchelf in my archlinux, where could I get patchelfmod ? BTW: I also tried to add -lirc in LDFLAGS, is it correct to do so?

trovao commented on 2016-02-25 11:51 (UTC)

@liubenyuan, @benob I've solved this with patchelfmod by adding a dependency explicitly on the shared object files: $ sudo patchelfmod -a libirc.so /usr/lib/python2.7/site-packages/numpy/linalg/_umath_linalg.so sudo patchelfmod -a libirc.so /usr/lib/python3.5/site-packages/numpy/linalg/_umath_linalg.cpython-35m-x86_64-linux-gnu.so I've tried tweaking the intelccompiler.py to include -lirc, but it seems my flags weren't enough.

<deleted-account> commented on 2016-02-25 02:20 (UTC)

@benob same problem here. using intel-mkl 2016.1.30

<deleted-account> commented on 2015-07-14 09:51 (UTC)

Installs fine with intel parallel studio xe 2015, but when I import numpy I get the following error: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib/python2.7/site-packages/numpy/__init__.py", line 170, in <module> from . import add_newdocs File "/usr/lib/python2.7/site-packages/numpy/add_newdocs.py", line 13, in <module> from numpy.lib import add_newdoc File "/usr/lib/python2.7/site-packages/numpy/lib/__init__.py", line 18, in <module> from .polynomial import * File "/usr/lib/python2.7/site-packages/numpy/lib/polynomial.py", line 19, in <module> from numpy.linalg import eigvals, lstsq, inv File "/usr/lib/python2.7/site-packages/numpy/linalg/__init__.py", line 51, in <module> from .linalg import * File "/usr/lib/python2.7/site-packages/numpy/linalg/linalg.py", line 29, in <module> from numpy.linalg import lapack_lite, _umath_linalg ImportError: /usr/lib/python2.7/site-packages/numpy/linalg/_umath_linalg.so: undefined symbol: _intel_fast_memset Preloading the libirc.so library fixes the problem, but I would like a better solution. LD_PRELOAD=/opt/intel/composer_xe_2015.3.187/compiler/lib/intel64/libirc.so python2

bred commented on 2013-11-15 08:34 (UTC)

The conflicts are solved automatically by pacman. python-numpy (form extra) will be removed automatically.

enedene commented on 2013-11-14 16:06 (UTC)

When installing python-numpy-mkl, do I need to remove the python-numpy from extra repository first? Are there conflicts? Or is it all done automatically?

bred commented on 2013-11-12 17:31 (UTC)

Note: This Pkg must be compiled in couple with intel parallel studio: https://aur.archlinux.org/packages/intel-parallel-studio-xe/

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