[IPython-dev] Numpy with OpenBLAS vs. IPython

[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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