[Numpy-discussion] numpy with icc/MKL
Erik Nugent
erik.nugent@gmail....
Mon May 19 11:22:54 CDT 2008
I'm here... i am rolling back now and will post my results...
e
On Mon, May 19, 2008 at 9:22 AM, rex <rex@nosyntax.com> wrote:
>> Next step is to try icc instead of gcc, and if that works, try
>> the latest MKL (10.0.3.020).
>
> OK, either I've got a corrupted copy of MKL 10.0.3.020, or it has
> a problem. Building with icc & MKL 10.0.1.014 works.
>
> Erik, are you reading this? If so, roll back to MKL 10.0.014 and it
> should work, both with gcc and icc.
>
> root@c2d0:/usr/local/src/1.1.0rc1# python setup.py config --compiler=intel build_clib --compiler=intel build_ext --compiler=intel install --prefix=/usr/local/ >build25
> Running from numpy source directory.
> root@c2d0:/usr/local/src/1.1.0rc1# cd ..
> root@c2d0:/usr/local/src# python
> Python 2.5 (release25-maint, Dec 9 2006, 14:35:53)
> [GCC 4.1.2 20061115 (prerelease) (Debian 4.1.1-20)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>>>> import numpy
>>>> numpy.test()
> Numpy is installed in /usr/local/lib/python2.5/site-packages/numpy
> Numpy version 1.1.0rc1
> Python version 2.5 (release25-maint, Dec 9 2006, 14:35:53) [GCC 4.1.2 20061115 (prerelease) (Debian 4.1.1-20)]
> Found 18/18 tests for numpy.core.defmatrix
> Found 3/3 tests for numpy.core.memmap
> Found 283/283 tests for numpy.core.multiarray
> Found 70/70 tests for numpy.core.numeric
> Found 36/36 tests for numpy.core.numerictypes
> Found 12/12 tests for numpy.core.records
> Found 7/7 tests for numpy.core.scalarmath
> Found 16/16 tests for numpy.core.umath
> Found 5/5 tests for numpy.ctypeslib
> Found 5/5 tests for numpy.distutils.misc_util
> Found 2/2 tests for numpy.fft.fftpack
> Found 3/3 tests for numpy.fft.helper
> Found 24/24 tests for numpy.lib._datasource
> Found 10/10 tests for numpy.lib.arraysetops
> Found 1/1 tests for numpy.lib.financial
> Found 0/0 tests for numpy.lib.format
> Found 53/53 tests for numpy.lib.function_base
> Found 5/5 tests for numpy.lib.getlimits
> Found 6/6 tests for numpy.lib.index_tricks
> Found 15/15 tests for numpy.lib.io
> Found 1/1 tests for numpy.lib.machar
> Found 4/4 tests for numpy.lib.polynomial
> Found 49/49 tests for numpy.lib.shape_base
> Found 15/15 tests for numpy.lib.twodim_base
> Found 43/43 tests for numpy.lib.type_check
> Found 1/1 tests for numpy.lib.ufunclike
> Found 89/89 tests for numpy.linalg
> Found 94/94 tests for numpy.ma.core
> Found 15/15 tests for numpy.ma.extras
> Found 7/7 tests for numpy.random
> Found 16/16 tests for numpy.testing.utils
> Found 0/0 tests for __main__
> ..............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
> ..............
> ----------------------------------------------------------------------
> Ran 1004 tests in 1.041s
>
> OK
> <unittest._TextTestResult run=1004 errors=0 failures=0>
>>>>
> _______________________________________________
> Numpy-discussion mailing list
> Numpy-discussion@scipy.org
> http://projects.scipy.org/mailman/listinfo/numpy-discussion
>
--
Erik Nugent
System Administrator
Department of Computer Science
The University of Montana - Missoula
(406) 243-2812 V
(406) 243-5139 F
More information about the Numpy-discussion
mailing list