Well, sfepy does not use MKL by itself anywhere, only through other packages, like numpy.

"sfepy-run run_tests" also fails? If yes, could you send us the output of "sfepy-run run_tests --raise"?

Thanks,
r.

On 03/30/2017 12:27 PM, Emanuel Woiski wrote:

yes, they work.
It seems that the installed sfepy is unable to find the mkl libraries.
woiski


2017-03-30 3:20 GMT-03:00 Robert Cimrman <cimr...@ntc.zcu.cz>:

Concerning the MKL errors - do numpy and scipy work?

r.


On 29.3.2017 23:26, Robert Cimrman wrote:

On 29.3.2017 21:44, Emanuel Woiski wrote:

Thanks!
There was no problem with the installation using 'conda install sfepy'.
However 'python run_tests.py' does not work. So I was trying to test
using

'python run_tests.py' is meant to be used from the directory of sfepy
sources
(e.g. if you clone the code from github). To test an installed sfepy, try
using
'sfepy-run run_tests'. The instructions on the web seem to be wrong.

r.

'nosetests sfepy' and the following message was produced:

EEEE....EEEEEEEEEEEEEEEEEEEEEEEE..Intel MKL FATAL ERROR: Cannot load
libmkl_avx2.so or libmkl_def.so.
Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so.
Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so.
Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so.
Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so.

According to conda, mkl is already installed.

Any further help or suggestion?
woiski


2017-03-28 4:17 GMT-03:00 Robert Cimrman <cimr...@ntc.zcu.cz>:

Hi Emanuel,

the python 3.6 installation should work now out of the box, except the
two
tests that depend on igakit.

r.


On 03/27/2017 05:47 PM, Emanuel Woiski wrote:

Awesome, thanks.

Eventually I will try it again.
woiski

2017-03-27 9:38 GMT-03:00 Robert Cimrman <cimr...@ntc.zcu.cz>:

Hi,

we have been skipping python 3.6 in the conda-forge recipe, as there
were
probably some compatibility problems (I do not recall exactly). SfePy
now
works with 3.6, so I am trying to update the recipe.

r.



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