I upgraded Numpy (1.16.6) and Pandas(1.1.5).
When I run python with django + apache + mod_wsgi , it fails with error: Intel MKL FATAL ERROR: Cannot load <mkl-loader>.
I've installed MKL( l_onemkl_p_2021.1.1.52_offline.sh ).
Red Hat Enterprise Linux Server release 7.4 (Maipo)
Intel(R) Xeon(R) CPU E5-2660 v3 @ 2.60GHz
This is apache error log.
How can I fix this error? Thanks.
I suspect that this is related to an error in some Python component, rather than in MKL itself.
The text <mkl-loader> suggests that "mkl-loader" is just place-holder text -- that is what the surrounding angle-brackets usually signify. What is to be used as the substitution text?
Failing that, you may need to find the actual source line containing that text. If it is in an Intel-supplied file, you could provide the details here. Otherwise, the question may need to be asked in some Python support forum -- I do not know which.
Thank you for your advice.
I did not find actual source line containing <mkl-loader>, and my python project log is empty.
It seems that python is loading some lib, but the error does not show which lib loaded fail, maybe it is numpy.
I rebuild numpy and scipy by intel document, as follow, but it not fix error.
And attached file is what .bashrc set.
Is that CPU too old to use MKL?
Or is there wrong path in .bashrc?
>>Is that CPU too old to use MKL?
<< no, that's CPU type is pretty new and is supported by MKL, but
In general, I do believe you have to address this topic to Python Forum follow the link:
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