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I installed python-numpy-mkl python-scipy-mkl today. Though icc is not found by bash first, but I source the files under /opt/intel/compilers_and_libraries_2020.0.166/linux/bin/
compilervars.sh compilervars_arch.sh compilervars_global.sh
then I met warning during the installation like
no previously-included directories found matching 'benchmarks/env'
no previously-included directories found matching 'benchmarks/results'
no previously-included directories found matching 'benchmarks/html'
no previously-included directories found matching 'benchmarks/scipy'
no previously-included directories found matching 'scipy/special/tests/data/boost'
no previously-included directories found matching 'scipy/special/tests/data/gsl'
no previously-included directories found matching 'scipy/special/tests/data/local'
no previously-included directories found matching 'doc/build'
no previously-included directories found matching 'doc/source/generated'
warning: no previously-included files matching '*~' found anywhere in distribution
warning: no previously-included files matching '*.bak' found anywhere in distribution
warning: no previously-included files matching '*.swp' found anywhere in distribution
warning: no previously-included files matching '*.pyo' found anywhere in distribution
warning: no previously-included files found matching 'LICENSES_bundled.txt'
Then when I tried to import scipy.stats, I first got
ImportError: /usr/lib/python3.8/site-packages/scipy/integrate/vode.cpython-38-x86_64-linux-gnu.so: undefined symbol: PyFortran_Type
Then I rebuilt the two and I got
ImportError: /usr/lib/python3.8/site-packages/scipy/integrate/vode.cpython-38-x86_64-linux-gnu.so: invalid ELF header
I tried it again and I got now
ImportError: /usr/lib/python3.8/site-packages/scipy/special/_ellip_harm_2.cpython-38-x86_64-linux-gnu.so: undefined symbol: sf_error
I'm curious what happened during my installation.
Last edited by alanmei (2020-04-16 07:08:24)
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Is there a specific reason why you want to use python-numpy-skl instead of python-numpy from extra repo ?
You are aware python-scipy is in community repo ?
Are you using the aur package intel-mkl or the one in community ?
Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.
clean chroot building not flexible enough ?
Try clean chroot manager by graysky
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Yeah, I'm using intel-mkl from pacman. Will that affect this process?
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Yes, python-scipy-mkl is intended to work with https://aur.archlinux.org/pkgbase/intel … studio-xe/ and uses several parts of it.
The community package intel-mkl has the same purpose & source as aur intel-mkl but is not comaptible with intel-parallel-studio-xe .
Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.
clean chroot building not flexible enough ?
Try clean chroot manager by graysky
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I just noticed the outdated intel-parallel-studio-xe had been uploaded, and I install intel-mkl_psxe, then I rebuild python-scipy-mkl. However, I still cannot import scipy in python. The warning are almost the same.
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The problem has been solved by the update today.
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