Python software on Archer: Difference between revisions
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For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6 |
For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6 |
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When using numpy, the following error may occur: |
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Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so |
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Tha solution is to do: |
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export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so |
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as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error. |
Revision as of 14:04, 29 August 2017
For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:
ImportError Cannot import name ...
or
File "crystal.py", line 3, in <module> import pyscf.pbc File "/work/e507/e507/ap837/code/pyscf/__init__.py", line 118, in <module> from pyscf import gto File "/work/e507/e507/ap837/code/pyscf/pyscf/__init__.py", line 118, in <module> from pyscf import gto File "/work/e507/e507/ap837/code/pyscf/gto/__init__.py", line 7, in <module> from pyscf.gto import mole File "/work/e507/e507/ap837/code/pyscf/gto/mole.py", line 16, in <module> from pyscf import lib File "/work/e507/e507/ap837/code/pyscf/lib/__init__.py", line 11, in <module> from pyscf.lib import numpy_helper File "/work/e507/e507/ap837/code/pyscf/lib/numpy_helper.py", line 17, in <module> _np_helper = misc.load_library('libnp_helper') File "/work/e507/e507/ap837/code/pyscf/lib/misc.py", line 41, in load_library return numpy.ctypeslib.load_library(libname, _loaderpath) File "/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py", line 128, in load_library raise OSError("no file with expected extension") OSError: no file with expected extension
and other errors.
To prevent dynamic libraries from becoming static you must:
export CRAYPE_LINK_TYPE=dynamic
For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6
When using numpy, the following error may occur:
Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so
Tha solution is to do:
export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so
as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error.