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Hi,
I'm now building numpy on my Windows 7 following this guide: https://software.intel.com/en-us/articles/building-numpyscipy-with-intel-mkl-and-intel-fortran-on-windows. I also posted this question under the guide, if it's not proper please delete it.
I have Intel Parallel Studio XE 2017 installed including MKL, icl and ifort. The version of numpy is the latest one because I've downloaded just now.
When I did the step 4, complied numpy with the indicated line:
python setup.py config --compiler=intelemw build_clib --compiler=intelemw build_ext --compiler=intelemw install
then an error was raised, the key part is
LINK : fatal error LNK1104: cannot open file 'libiomp5md.lib'
while actually the file libiomp5md.lib did lie in the directory I configured in site.cfg, and it was found during the process as the following log said. So I have no idea where the problem is.
Could anyone give me some hints? Thanks.
Bo
The log is as follows:
Running from numpy source directory. blas_opt_info: blas_mkl_info: FOUND: libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'libiomp5md'] library_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\mkl\\lib\\intel64_win', 'C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\compiler\\lib\\intel64_win'] define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)] include_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\parallel_studio_xe_2017.0.036\\compilers_and_libraries_2017\\windows\\mkl\\include'] FOUND: libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'libiomp5md'] library_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\mkl\\lib\\intel64_win', 'C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\compiler\\lib\\intel64_win'] define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)] include_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\parallel_studio_xe_2017.0.036\\compilers_and_libraries_2017\\windows\\mkl\\include'] F2PY Version 2 lapack_opt_info: openblas_lapack_info: libraries openblas not found in ['C:\\Python27\\lib', 'C:\\', 'C:\\Python27\\libs'] NOT AVAILABLE lapack_mkl_info: mkl_info: FOUND: libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'libiomp5md'] library_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\mkl\\lib\\intel64_win', 'C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\compiler\\lib\\intel64_win'] define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)] include_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\parallel_studio_xe_2017.0.036\\compilers_and_libraries_2017\\windows\\mkl\\include'] FOUND: libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'libiomp5md', 'mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'libiomp5md'] library_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\mkl\\lib\\intel64_win', 'C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\compiler\\lib\\intel64_win'] define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)] include_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\parallel_studio_xe_2017.0.036\\compilers_and_libraries_2017\\windows\\mkl\\include'] FOUND: libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'libiomp5md', 'mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'libiomp5md'] library_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\mkl\\lib\\intel64_win', 'C:\\Program Files (x86)\\IntelSWTools\\compilers_and_libraries_2017.0.109\\windows\\compiler\\lib\\intel64_win'] define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)] include_dirs = ['C:\\Program Files (x86)\\IntelSWTools\\parallel_studio_xe_2017.0.036\\compilers_and_libraries_2017\\windows\\mkl\\include'] C:\Python27\lib\distutils\dist.py:267: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running config running build_clib running build_src build_src building py_modules sources building library "npymath" sources Could not locate executable icc Could not locate executable ecc customize GnuFCompiler Could not locate executable g77 Could not locate executable f77 customize IntelVisualFCompiler Found executable C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2017.0.109\windows\bin\intel64\ifort.exe Found executable C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2017.0.109\windows\bin\intel64\ifort.exe customize AbsoftFCompiler Could not locate executable f90 customize CompaqVisualFCompiler Could not locate executable DF customize IntelItaniumVisualFCompiler Could not locate executable efl customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize G95FCompiler Could not locate executable g95 customize IntelEM64VisualFCompiler customize IntelEM64VisualFCompiler customize IntelEM64VisualFCompiler using config C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2017.0.109\windows\bin\intel64\icl.exe /c /nologo /O3 /MD /W3 /Qstd=c99 /QxHost /fp:strict /Qopenmp -Inumpy\core\src\private -Inumpy\core\src -Inumpy\core -Inumpy\core\src\npymath -Inumpy\core\src\multiarray -Inumpy\core\src\umath -Inumpy\core\src\npysort -IC:\Python27\include -IC:\Python27\PC /Tc_configtest.c /Fo_configtest.obj Found executable C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2017.0.109\windows\bin\intel64\icl.exe xilink /nologo /INCREMENTAL:NO _configtest.obj /OUT:_configtest.exe /MANIFEST /MANIFESTFILE:_configtest.exe.manifest Found executable C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2017.0.109\windows\bin\intel64\xilink.exe LINK : fatal error LNK1104: cannot open file 'libiomp5md.lib' failure. removing: _configtest.c _configtest.obj
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Hi,
Building NumPy with MKL on Windows has always been tricky. Many different things can go wrong, depending on the user's particular environment configuration. And the problem is difficult to debug. I'd recommend you to use a pre-built NumPy with MKL optimization. There are 2 options:
- You can get "Intel Distribution for Python" (https://software.intel.com/en-us/intel-distribution-for-python). Many Python numeric packages, including NumPy and SciPy, are optimized and come with MKL built-in. It is a free (no-cost) download.
- You can get the NumPy package from Anaconda, and then get Anaconda's "MKL Optimization" option (https://docs.continuum.io/mkl-optimizations/). It is also a free (no-cost) download.
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It seems that the Intel distribution is a whole python distribution, is it possible that confliction occurs with the original python distribution installed before? And is it possible to put the Intel built version of numpy in virtualenv of the original python distribution? Thanks.
Zhang Z. (Intel) wrote:
Hi,
Building NumPy with MKL on Windows has always been tricky. Many different things can go wrong, depending on the user's particular environment configuration. And the problem is difficult to debug. I'd recommend you to use a pre-built NumPy with MKL optimization. There are 2 options:
- You can get "Intel Distribution for Python" (https://software.intel.com/en-us/intel-distribution-for-python). Many Python numeric packages, including NumPy and SciPy, are optimized and come with MKL built-in. It is a free (no-cost) download.
- You can get the NumPy package from Anaconda, and then get Anaconda's "MKL Optimization" option (https://docs.continuum.io/mkl-optimizations/). It is also a free (no-cost) download.
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Hi Bo,
The default install for intel python will not try to replace the system python. You have to explicitly put our python on your path. Virtualenv is not supported, but we do provide conda for managing virtual environments. If you are already using anaconda, then it is very quick to create a new environment that has intel python.
https://software.intel.com/en-us/articles/using-intel-distribution-for-python-with-anaconda
Continuum anaconda does have MKL, but intel python's numpy & scipy have some optimizations that have not landed upstream yet.
Robert
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Hi Robert,
Thanks for the info. I've never tried conda before (maybe it's time to do it now), nor anaconda, because I tended to install only what I needed exactly. I've installed Intel python, and I just installed virtualenv with pip in Intel python, and created a venv, it seemed to work well. When I switch venvs between this new one and previous one, different versions of python can be identified correctly. So I think maybe virtualenv can work in Intel python.
Bo
Robert C. (Intel) wrote:
Hi Bo,
The default install for intel python will not try to replace the system python. You have to explicitly put our python on your path. Virtualenv is not supported, but we do provide conda for managing virtual environments. If you are already using anaconda, then it is very quick to create a new environment that has intel python.
https://software.intel.com/en-us/articles/using-intel-distribution-for-p...
Continuum anaconda does have MKL, but intel python's numpy & scipy have some optimizations that have not landed upstream yet.
Robert

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