[Numpy-discussion] numpy with icc/MKL

rex rex at nosyntax.com
Mon May 19 11:22:40 EDT 2008


> 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 at 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 at c2d0:/usr/local/src/1.1.0rc1# cd ..
root at 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>
>>>



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