Hi, I've built numpy 64 bit using vc11, the Intel Fortran compiler and the MKL
'mkl_rt' library.
*why? (see end of message for the reason, if interested)
Any advice or assistance would be greatly appreciated. If I can offer
additional information, I will happily do so.
The build appears to go just fine (no errors noted), and numpy loads into
python just fine as well.
(I note a warning: ### Warning: python_xerbla.c is disabled ### -- however,
it doesn't appear to be problematic?)
I have also confirmed that numpy sees the mkl blas and lapack libs.
>>> numpy.__config__.show()
lapack_opt_info:
libraries = ['mkl_lapack', 'mkl_rt']
library_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\lib\\intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\include']
blas_opt_info:
libraries = ['mkl_rt']
library_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\lib\\intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\include']
openblas_lapack_info:
NOT AVAILABLE
lapack_mkl_info:
libraries = ['mkl_lapack', 'mkl_rt']
library_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\lib\\intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\include']
blas_mkl_info:
libraries = ['mkl_rt']
library_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\lib\\intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\include']
mkl_info:
libraries = ['mkl_rt']
library_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\lib\\intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['C:\\Program Files (x86)\\Intel\\Composer XE
2015\\mkl\\include']
Everything *looks* to be in order upon casual inspection (*I think*, please
correct me if I'm wrong!)
However, there is no performance boost when running a few different tests in
numpy (singular value decomposition, for example), and only a single thread
appears to be in play.
Running numpy.test('full') reveals 21 errors.
For instance,
LINK : fatal error LNK1104: cannot open file 'ifconsol.lib'
And, the other being a recurring error with f2py,
ERROR: test_size.TestSizeSumExample.test_transpose
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Program Files\Side Effects Software\Houdini
13.0.509\python27\lib\site-packages\nose\case.py", line 371, in setUp
try_run(self.inst, ('setup', 'setUp'))
File "C:\Program Files\Side Effects Software\Houdini
13.0.509\python27\lib\site-packages\nose\util.py", line 478, in try_run
return func()
File "C:\Program Files\Side Effects Software\Houdini
13.0.509\python27\lib\site-packages\numpy\f2py\tests\util.py", line 353, in
setUp
module_name=self.module_name)
File "C:\Program Files\Side Effects Software\Houdini
13.0.509\python27\lib\site-packages\numpy\f2py\tests\util.py", line 80, in
wrapper
raise ret
RuntimeError: Running f2py failed: ['-m', '_test_ext_module_5403',
'c:\\users\\jareyn~1\\appdata\\local\\temp\\tmpvykewl
\\foo.f90']
Reading .f2py_f2cmap ...
Mapping "real(kind=rk)" to "double"
Succesfully applied user defined changes from .f2py_f2cmap
Everything that requires configuration appears to be in agreement with this
Intel Application Note, minus use of the Intel C++ compiler:
https://software.intel.com/en-us/articles/numpyscipy-with-intel-mkl
I have also referenced the Windows build docs on scipy.org:
http://www.scipy.org/scipylib/building/windows.html#building-scipy
Some info about my configuration:
site.cfg:
include_dirs = C:\Program Files (x86)\Intel\Composer XE 2015\mkl\include
library_dirs = C:\Program Files (x86)\Intel\Composer XE 2015\mkl\lib\intel64
mkl_libs = mkl_rt
PATH = (paths separated by line for easy reading)
C:\Program Files\Side Effects Software\Houdini 13.0.509\python27;
C:\Program Files\Side Effects Software\Houdini 13.0.509\python27\Scripts;
C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\bin\x86_amd64;
C:\Program Files (x86)\Intel\Composer XE 2015\bin\intel64
LD_LIBRARY_PATH =
C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\bin\x86_amd64;
C:\Program Files (x86)\Intel\Composer XE 2015\bin\intel64;
C:\Program Files (x86)\Intel\Composer XE 2015\mkl\lib\intel64;
C:\Program Files (x86)\Intel\Composer XE 2015\compiler\lib\intel64
Thank you in advance for your time,
-Jay
=====
*why am I doing this?
The reason I'm doing this is because I need numpy with MKL to run with the
version of python that comes packaged with Houdini (Python 2.7.5 (default, Oct
24 2013, 17:49:49) [MSC v.1700 64 bit (AMD64)] on win32).
So, downloading a prebuilt 64 bit numpy isn't an option due to the
unavailability of a compatible compiler version.
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
