topic Hi Toshiyuki, in Intel® Distribution for Python*

Library Link Error

Toshiyuki_N_ — Thu, 03 Dec 2015 02:48:47 GMT

Hi: I tried to link Theano with the your python library.

When I tried to test Theano

python -c "import theano; theano.test()"

I got the following error

Exception: Compilation failed (return status=1): /usr/bin/ld: /home/t-nakata/intel/python/2.7.20150803_184913/lib/libpython2.7.a(abstract.o): relocation R_X86_64_32 against `.rodata.str1.4' can not be used when making a shared object; recompile with -fPIC. /home/t-nakata/intel/python/2.7.20150803_184913/lib/libpython2.7.a: could not read symbols: Bad value. collect2: error: ld returned 1 exit status.

I think the libraries need to be compiled with -fPIC option. (My two cents' worth)

Best Regards

Toshiyuki Nakata

Hi Toshiyuki,

Anton_M_Intel — Thu, 03 Dec 2015 15:07:39 GMT

Hi Toshiyuki,

Thank you for this report! I've reproduced the issue and filled the bug report.

Another possible resolution is to build libpython2.7.so which is not provided along with our distribution.

Thanks
// Anton

Hi Anton,

Michael_L_4 — Fri, 18 Dec 2015 17:28:07 GMT

Hi Anton,

I ran into the same problem, is there a way to get the distribution compiled with the flag --enable-shared?

-Michael

Hello Michael,

Ricardo_C_Intel — Thu, 14 Jan 2016 17:31:22 GMT

Hello Michael,
The Tech Preview release does not provide the necessary libraries, but we are working to fix it in the next release.

Thank you.

This is a workaround I just

glenn_n_ — Wed, 27 Jan 2016 04:00:12 GMT

This is a workaround I just stumbled upon:

# download Python 2.7.10 (same version as the Intel bundle)
wget http://python.org/ftp/python/2.7.10/Python-2.7.10.tar.xz

# extract it and recompile it in a shared manner
tar xf Python-2.7.10.tar.xz && cd cd Python-2.7.10
./configure --enable-shared
make

# COPY the shared libraries over into your intel python lib directory
cp libpython2.7.a /<intel directory>/lib

# don't know whether this one is actually needed here
cp libpython2.7.so /<intel directory>/lib

@Intel, maybe this helps you too :)

Hi Glenn: Thank you for the

Toshiyuki_N_ — Wed, 27 Jan 2016 07:51:34 GMT

Hi Glenn: Thank you for the workaround.

Unfortunately, I had wanted to test the Intel optimized one.

Perhaps people in Intel could compule their library with the --enable-shared option ?

Best Regards

Just want to add a +1 to this

Rob_H_ — Fri, 25 Mar 2016 20:31:21 GMT

Just want to add a +1 to this. I'd love to be able to test Caffe with the Intel-optimized Python, but right now I'm getting the exact same error as Toshiyuki when compiling Caffe against the Intel distribution.

Sounds like it's in the works to make a release with libpython2.7.so included. Is there a timeline on that release?

We can't promise a date for a

Robert_C_Intel — Fri, 25 Mar 2016 21:28:04 GMT

We can't promise a date for a fix but ...

If you registered for the tech preview you will get a email about the next release. I expect it will happen by April 1.

Robert

Awesome. Thanks Robert.

Rob_H_ — Fri, 25 Mar 2016 21:40:30 GMT

Awesome. Thanks Robert.

Two likes to Rob and Robert ;

Toshiyuki_N_ — Fri, 25 Mar 2016 23:42:56 GMT

Two likes to Rob and Robert ;-)

Just one more comment both

Toshiyuki_N_ — Sat, 26 Mar 2016 00:05:18 GMT

Just one more comment both Theano and Caffe are very important libraries for Deep Learning. So, to be able to prove that the

performance of these libraries is a very important point..

Caffe and Theano are

Robert_C_Intel — Sat, 26 Mar 2016 13:35:43 GMT

Caffe and Theano are important for Intel. In the next release any improvements will only come from having better BLAS in numpy. Over time, we want to do more.

There is Chainer as well..

Toshiyuki_N_ — Sat, 26 Mar 2016 14:31:41 GMT

There is Chainer as well.. http://chainer.org/

Best Regards

Neon by Nervana is also a

hussain__zafar — Sun, 21 Aug 2016 14:05:36 GMT

Neon by Nervana is also a good Neural network toolkit, hopefully it will be included in future Intel Python releasse

cheers