Hmm that's interesting, it's not linked against libmkl_lapack. On my system
with MKL it says:
ldd linalg/lapack_lite.so
libmkl_lapack.so => /opt/intel/mkl/
10.1.3.027/lib/em64t/libmkl_lapack.so (0x00002acf0e25a000)
libmkl_intel_lp64.so => /opt/intel/mkl/
10.1.3.027/lib/em64t/libmkl_intel_lp64.so (0x00002acf0ebb8000)
libmkl_intel_thread.so => /opt/intel/mkl/
10.1.3.027/lib/em64t/libmkl_intel_thread.so (0x00002acf0ef2e000)
libmkl_def.so =>
/opt/intel/mkl/10.1.3.027/lib/em64t/libmkl_def.so(0x00002acf0fc93000)
libmkl_core.so =>
/opt/intel/mkl/10.1.3.027/lib/em64t/libmkl_core.so(0x00002acf1080e000)
libguide.so => /opt/intel/cce/10.1.026/lib/libguide.so
(0x00002acf10a03000)
libpthread.so.0 => /lib64/libpthread.so.0 (0x00002acf10ba6000)
libm.so.6 => /lib64/libm.so.6 (0x00002acf10dc1000)
libpython2.6.so.1.0 => /opt/python64/2.6.4/lib/libpython2.6.so.1.0
(0x00002acf11044000)
libc.so.6 => /lib64/libc.so.6 (0x00002acf113f3000)
libdl.so.2 => /lib64/libdl.so.2 (0x00002acf1174b000)
/lib64/ld-linux-x86-64.so.2 (0x0000003d90400000)
libutil.so.1 => /lib64/libutil.so.1 (0x00002acf1194f000)
So to clarify, what I was trying to achieve is find which of numpy's shared
libraries was trying to load libmkl_lapack.so, and if it could be found
properly with ldd. Just to make sure it's not another .so, can you run from
within your numpy directory:
find -name "*.so" -exec ldd \{} \; | grep lapack
If the output is not empty, try to run ldd on all .so within numpy to see
which one is linked against libmkl_lapack.so. Then hopefully something will
stand out (I admit that's not guaranteed though ;).
-=- Olivier
2011/11/2 akshar bhosale <[email protected]>
> Hi,
>
> ldd Python-2.6/lib/python2.6/site-packages/numpy/linalg/lapack_lite.so
> libstdc++.so.6 => /usr/lib64/libstdc++.so.6 (0x00002b1199349000)
> libmkl_def.so =>
> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_def.so
> (0x00002b1199653000)
> libmkl_intel_lp64.so =>
> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_intel_lp64.so
> (0x00002b119a1a8000)
> libmkl_intel_thread.so =>
> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_intel_thread.so
> (0x00002b119a503000)
> libmkl_core.so =>
> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_core.so
> (0x00002b119b22c000)
> libmkl_mc.so =>
> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_mc.so (0x00002b119b420000)
> libpthread.so.0 => /lib64/libpthread.so.0 (0x00002b119c176000)
> libimf.so => /opt/intel/Compiler/11.0/069/lib/intel64/libimf.so
> (0x00002b119c392000)
> libsvml.so => /opt/intel/Compiler/11.0/069/lib/intel64/libsvml.so
> (0x00002b119c6e9000)
> libm.so.6 => /lib64/libm.so.6 (0x00002b119c8a6000)
> libiomp5.so => /opt/intel/Compiler/11.0/069/lib/intel64/libiomp5.so
> (0x00002b119cb2b000)
> libintlc.so.5 =>
> /opt/intel/Compiler/11.0/069/lib/intel64/libintlc.so.5 (0x00002b119ccbc000)
> libgcc_s.so.1 => /lib64/libgcc_s.so.1 (0x00002b119cdf9000)
> libc.so.6 => /lib64/libc.so.6 (0x00002b119d007000)
> libdl.so.2 => /lib64/libdl.so.2 (0x00002b119d37e000)
> /lib64/ld-linux-x86-64.so.2 (0x0000003fb8000000)
>
>
>
> On Wed, Nov 2, 2011 at 11:26 PM, Olivier Delalleau <[email protected]> wrote:
>
>> Doh I'm sorry, I forgot the problem was with lapack, what about ldd
>> numpy/linalg/lapack_lite.so?
>>
>>
>> 2011/11/2 akshar bhosale <[email protected]>
>>
>>> Hi,
>>> ldd _dotblas.so
>>> libstdc++.so.6 => /usr/lib64/libstdc++.so.6 (0x00002b12f0692000)
>>> libmkl_def.so =>
>>> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_def.so
>>> (0x00002b12f099c000)
>>> libmkl_intel_lp64.so =>
>>> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_intel_lp64.so
>>> (0x00002b12f14f1000)
>>> libmkl_intel_thread.so =>
>>> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_intel_thread.so
>>> (0x00002b12f184c000)
>>> libmkl_core.so =>
>>> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_core.so
>>> (0x00002b12f2575000)
>>> libmkl_mc.so =>
>>> /opt/intel/Compiler/11.0/069/mkl/lib/em64t/libmkl_mc.so (0x00002b12f2769000)
>>> libpthread.so.0 => /lib64/libpthread.so.0 (0x00002b12f34bf000)
>>> libimf.so => /opt/intel/Compiler/11.0/069/lib/intel64/libimf.so
>>> (0x00002b12f36db000)
>>> libsvml.so => /opt/intel/Compiler/11.0/069/lib/intel64/libsvml.so
>>> (0x00002b12f3a32000)
>>> libm.so.6 => /lib64/libm.so.6 (0x00002b12f3bef000)
>>> libiomp5.so => /opt/intel/Compiler/11.0/069/lib/intel64/libiomp5.so
>>> (0x00002b12f3e74000)
>>> libintlc.so.5 =>
>>> /opt/intel/Compiler/11.0/069/lib/intel64/libintlc.so.5 (0x00002b12f4005000)
>>> libgcc_s.so.1 => /lib64/libgcc_s.so.1 (0x00002b12f4142000)
>>> libc.so.6 => /lib64/libc.so.6 (0x00002b12f4350000)
>>> libdl.so.2 => /lib64/libdl.so.2 (0x00002b12f46c7000)
>>> /lib64/ld-linux-x86-64.so.2 (0x0000003fb8000000)
>>>
>>>
>>>
>>> On Wed, Nov 2, 2011 at 10:14 PM, Olivier Delalleau <[email protected]>wrote:
>>>
>>>> Ok, can you print the output of ldd numpy/core/_dotblas.so?
>>>>
>>>>
>>>> -=- Olivier
>>>>
>>>> 2011/11/2 akshar bhosale <[email protected]>
>>>>
>>>>> HI,
>>>>> It is already added in the LD_LIBRARY_PATH, thenalso it is generating
>>>>> the same error.
>>>>>
>>>>>
>>>>> On Wed, Nov 2, 2011 at 10:01 PM, Olivier Delalleau <[email protected]>wrote:
>>>>>
>>>>>> Locate your libmkl_lapack.so and try to add the directory that
>>>>>> contains it to your LD_LIBRARY_PATH environment variable.
>>>>>>
>>>>>> -=- Olivier
>>>>>>
>>>>>> 2011/11/2 akshar bhosale <[email protected]>
>>>>>>
>>>>>>> Hi,
>>>>>>>
>>>>>>> i am getting following error.
>>>>>>> python -c 'import numpy;numpy.matrix([[1, 5, 10], [1.0, 3j, 4]],
>>>>>>> numpy.complex128).T.I.H'
>>>>>>> MKL FATAL ERROR: Cannot load libmkl_lapack.so
>>>>>>>
>>>>>>> have installed numpy 1.6.0 with python 2.6.
>>>>>>> i have intel cluster toolkit installed on my system. (11/069
>>>>>>> version and mlk=10.1). i have machine having intel xeon processor and
>>>>>>> rhel
>>>>>>> 5.2 x86_64
>>>>>>> platform.
>>>>>>> Kindly help
>>>>>>>
>>>>>>> _______________________________________________
>>>>>>> NumPy-Discussion mailing list
>>>>>>> [email protected]
>>>>>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>>>>>
>>>>>>>
>>>>>>
>>>>>> _______________________________________________
>>>>>> NumPy-Discussion mailing list
>>>>>> [email protected]
>>>>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>>>>
>>>>>>
>>>>>
>>>>> _______________________________________________
>>>>> NumPy-Discussion mailing list
>>>>> [email protected]
>>>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>>>
>>>>>
>>>>
>>>> _______________________________________________
>>>> NumPy-Discussion mailing list
>>>> [email protected]
>>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>>
>>>>
>>>
>>> _______________________________________________
>>> NumPy-Discussion mailing list
>>> [email protected]
>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>
>>>
>>
>> _______________________________________________
>> NumPy-Discussion mailing list
>> [email protected]
>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>
>>
>
> _______________________________________________
> NumPy-Discussion mailing list
> [email protected]
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
>
_______________________________________________
NumPy-Discussion mailing list
[email protected]
http://mail.scipy.org/mailman/listinfo/numpy-discussion
