[IPython-dev] Numpy with OpenBLAS vs. IPython

[Florian M. Wagner]

I reproduced the error with the latest IPython source:

    fwagner at fwagner-notebook ~/Downloads/ipython $ ipython
    Python 2.7.4 (default, Sep 26 2013, 03:20:26)
    Type "copyright", "credits" or "license" for more information.

    IPython 2.0.0-dev -- An enhanced Interactive Python.
    ?         -> Introduction and overview of IPython's features.
    %quickref -> Quick reference.
    help      -> Python's own help system.
    object?   -> Details about 'object', use 'object??' for extra details.

    In [1]: A = np.random.randn(50,50)

    In [2]: A[0,0]
    Out[2]: 0.62268531821589967

    In [3]: A.T.dot(A)
    Speicherzugriffsfehler

Compared to:

    Python 2.7.4 (default, Sep 26 2013, 03:20:26)
    [GCC 4.7.3] on linux2
    Type "help", "copyright", "credits" or "license" for more information.
     >>> import numpy as np
     >>> A = np.random.randn(50,50)
     >>> A.T.dot(A)
    array([[  4.61866860e+01,   1.97714469e+00, 8.78842173e+00, ...,
              -9.65143259e+00,   4.74312877e+00, -1.85163266e+01],
            [  1.97714469e+00,   4.50113072e+01, -1.13105045e+01, ...,
               2.31604581e+00,   4.93068512e+00, 1.29316267e+01],
            [  8.78842173e+00,  -1.13105045e+01, 6.02859864e+01, ...,
              -2.65040891e+00,   3.98374437e+00, -1.54860323e+01],
            ...,
            [ -9.65143259e+00,   2.31604581e+00, -2.65040891e+00, ...,
               3.81774984e+01,   1.63768677e+00, 1.16681961e+01],
            [  4.74312877e+00,   4.93068512e+00, 3.98374437e+00, ...,
               1.63768677e+00,   5.11159138e+01, 6.56039753e-02],
            [ -1.85163266e+01,   1.29316267e+01, -1.54860323e+01, ...,
               1.16681961e+01,   6.56039753e-02, 6.61061915e+01]])



Am 30.10.2013 09:33, schrieb Florian M. Wagner:
> Thanks guys,
>
> @Julian: Reducing the thread number did not help
> @Thomas: dap is mpl-basemap dependency, fixed the import issue, but the
> error still occurs
>
> It is really weird that it is occuring only when printing the array, or
> slicing the array. And whats more weird, that it works in plain Python
> as I understood that IPython has no numpy dependency?
>
> Thanks and regards
> Florian
>
> Am 29.10.2013 19:39, schrieb Julian Taylor:
>> does this also happen if you do this before starting ipython?
>>
>> export OPENBLAS_NUM_THREADS=1
>> (assuming bash shell)
>>
>> On 29.10.2013 17:19, Florian M. Wagner wrote:
>>> Dear all,
>>>
>>> I recently compiled numpy with OpenBlas for faster matrix-matrix
>>> multiplication. Everything works fine, but IPython seems to dislike it.
>>> I get a Segmentation Fault error when trying this (I reinstalled IPython
>>> 1.1.0 after numpy compilation):
>>>
>>>       fwagner at fwagner-notebook ~ $ ipython -c "import numpy as np; print
>>>       np.__version__; import IPython; print IPython.__version__; A =
>>>       np.random.randn(600, 600); print A[20,53]; print A"
>>>       /usr/local/bin/ipython:5: UserWarning: Module dap was already
>>>       imported from None, but /usr/lib/python2.7/dist-packages is being
>>>       added to sys.path
>>>         from pkg_resources import load_entry_point
>>>       1.9.0.dev-54d3559
>>>       1.1.0
>>>       -2.1004055886
>>>       Speicherzugriffsfehler
>>>
>>> In comparison, this works fine (just python instead of ipython):
>>>
>>>       fwagner at fwagner-notebook ~ $ python -c "import numpy as np; print
>>>       np.__version__; import IPython; print IPython.__version__; A =
>>>       np.random.randn(600, 600); print A[20,53]; print A"
>>>       1.9.0.dev-54d3559
>>>       1.1.0
>>>       -1.10282239744
>>>       [[ 0.13798084 -0.39195796 -0.15309986 ...,  1.47471232 -0.9158455
>>>          0.97060671]
>>>        [ 0.25720169  0.51895478  0.55175787 ..., -0.02010573  0.78047754
>>>         -1.07891961]
>>>        [ 1.59478156  0.81245486 -0.03959768 ..., -0.04816659 -0.03356907
>>>         -0.11860379]
>>>        ...,
>>>        [-0.06299817 -0.0956477  -0.32987518 ..., -1.47714386  1.66736916
>>>         -0.47704276]
>>>        [-0.93769589  1.50006542  0.97782803 ..., -0.5034154   1.31592011
>>>         -0.74482995]
>>>        [-0.24661336 -0.98979706 -0.39366363 ...,  0.20507632  0.8701609
>>>         -1.10449957]]
>>>
>>> Any ideas what might cause this problem?
>>>
>>> Thanks,
>>>
>>> Florian
>>>
>>>
>>>
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