Intel MKL FATAL ERROR on import gensim

[Krishna Anandh]

Hi,

I just did pip install --upgrade gensim 

and when i try to do 'import gensim' from my program, I get:

Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so.

and python interpreter stops.

Any idea what might be causing this?

Thanks,

[Radim Řehůřek]

Hello,

MKL is a library (optionally) used by NumPy and SciPy. So my guess is these two libraries are not installed correctly on your machine.

It has nothing to do with gensim -- try just `import numpy` to start with.

-rr

[nipun.s...@jsm.email]

I am also facing same issue 

I installed gensim through

1) As i am using Anaconda so i used :

  conda install gensim 

which installed 0.12.2 version

 ```

root@localhost:~# conda upgrade gensim

Using Anaconda Cloud api site https://api.anaconda.org

Fetching package metadata: ....

# All requested packages already installed.

# packages in environment at /opt/anaconda2:

#

gensim                    0.12.2              np110py27_0

```

when i do `import numpy` or `import scipy` it doesnt raise any error.

import gensim causes

```

>>> import gensim

Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so.

root@localhost:~#

```

it crashes python and same thing happens with jupyter notebook (python 2 kernel crashes)

[Radim Řehůřek]

Hello,

no idea what that is. Best to contact the Anaconda devs (or use standard virtualenv+pip if urgent).

Best,

Radim

[Islam El-Hosary]

Any updates on this, I have the same issue, and it raised when I tried to update gensim from 012.3 to 012.4, Im using ubuntu server 14.04 and Anaconda.

[Lev Konstantinovskiy]

Does it work with virtualenv+pip instead of Anaconda?

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[ts]

I am also having the same issue running gensim 0.12.4 on Anaconda 2.4.1 (Python 2.4.1) under Linux Mint 17.3 64-bit. Any fixes would be appreciated

[Lev Konstantinovskiy]

Hi,

Please raise the Anaconda issues in the Anaconda support mailing list.

 https://groups.google.com/a/continuum.io/forum/#!forum/anaconda

Anaconda is a private closed source product which we have no control over.

But please let us know if it works with pip+virtualenv.

Regards

Lev

--

[葉仕弘]

Run

conda install nomkl numpy scipy scikit-learn numexpr

The above command will install OpenBlas and download numpy that uses OpenBlas.

I found this in their documentation.

https://docs.continuum.io/mkl-optimizations/index

Krishna Anandh於 2016年3月31日星期四 UTC+8上午6時29分03秒寫道：

[aman taneja]

Thanks, it worked !