ERROR during bob.bio.gmm training

[Nathália Batista]

Hi all,

I have faced this issue Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so when I run this command to test my installation: nosetest -vs bob.bio.gmm. The same error occurs when I use bob.bio.base as well.

Has someone faced this same problem during machine training? 

I installed BOB in two different machine but I got the same error in both PC (Intel PC). Furthermore, I installed different python version but the error remains. 

I searched on the Internet that it's related to Numpy incompatibility with Intel MKL version.

Can someone help on this? Is there any way to solve this or skip it?

Thank you

[Amir Mohammadi]

Could you please send the output of

conda info -a

and

conda list

Thanks,

Amir

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[Nathália Batista]

Hi Amir,

Attached are the files you requested.

Thank you.

[Amir Mohammadi]

This is a fixed issue: https://gitlab.idiap.ch/bob/bob.conda/issues/38

It gets fixed by updating bob.math:

conda update bob.math

Looking at the output of your conda list, it's most likely that your env is broken because you are mixing packages with different C++ ABIs.

This is an issue with conda 4.4

The best option is to remove your current bob environment and install it again using:

conda create -n bob_py3 --override-channels \
  -c https://www.idiap.ch/software/bob/conda \
  -c https://repo.continuum.io/pkgs/free \
  python=3 bob-devel bob-extras

[Nathália Batista]

Hello Amir,

I did the changes you suggest me and bob is working fine now. Although, I see errors regarding NaN that is generated during the training. Since it is a default test in Bob, should this be happening?
See attached file.

Thank you

[Amir Mohammadi]

All you need to care about is that line that says:

Ran 50 tests in 209.537s

OK

which means everything is OK.

[Nathália Batista]

Oh...ok, then :)

Thanks