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<div class="moz-cite-prefix">I reproduced the error with the latest
IPython source:<br>
<br>
<blockquote><small>fwagner@fwagner-notebook ~/Downloads/ipython $
ipython</small><br>
<small>Python 2.7.4 (default, Sep 26 2013, 03:20:26) </small><br>
<small>Type "copyright", "credits" or "license" for more
information.</small><br>
<br>
<small>IPython 2.0.0-dev -- An enhanced Interactive Python.</small><br>
<small>? -> Introduction and overview of IPython's
features.</small><br>
<small>%quickref -> Quick reference.</small><br>
<small>help -> Python's own help system.</small><br>
<small>object? -> Details about 'object', use 'object??'
for extra details.</small><br>
<br>
<small>In [1]: A = np.random.randn(50,50)</small><br>
<br>
<small>In [2]: A[0,0]</small><br>
<small>Out[2]: 0.62268531821589967</small><br>
<br>
<small>In [3]: A.T.dot(A)</small><br>
<small>Speicherzugriffsfehler</small><br>
<br>
</blockquote>
Compared to:<br>
<br>
<blockquote><small>Python 2.7.4 (default, Sep 26 2013, 03:20:26) </small><br>
<small>[GCC 4.7.3] on linux2</small><br>
<small>Type "help", "copyright", "credits" or "license" for more
information.</small><br>
<small>>>> import numpy as np</small><br>
<small>>>> A = np.random.randn(50,50)</small><br>
<small>>>> A.T.dot(A)</small><br>
<small>array([[ 4.61866860e+01, 1.97714469e+00,
8.78842173e+00, ...,</small><br>
<small> -9.65143259e+00, 4.74312877e+00,
-1.85163266e+01],</small><br>
<small> [ 1.97714469e+00, 4.50113072e+01,
-1.13105045e+01, ...,</small><br>
<small> 2.31604581e+00, 4.93068512e+00,
1.29316267e+01],</small><br>
<small> [ 8.78842173e+00, -1.13105045e+01,
6.02859864e+01, ...,</small><br>
<small> -2.65040891e+00, 3.98374437e+00,
-1.54860323e+01],</small><br>
<small> ..., </small><br>
<small> [ -9.65143259e+00, 2.31604581e+00,
-2.65040891e+00, ...,</small><br>
<small> 3.81774984e+01, 1.63768677e+00,
1.16681961e+01],</small><br>
<small> [ 4.74312877e+00, 4.93068512e+00,
3.98374437e+00, ...,</small><br>
<small> 1.63768677e+00, 5.11159138e+01,
6.56039753e-02],</small><br>
<small> [ -1.85163266e+01, 1.29316267e+01,
-1.54860323e+01, ...,</small><br>
<small> 1.16681961e+01, 6.56039753e-02,
6.61061915e+01]])</small><br>
</blockquote>
<br>
<br>
Am 30.10.2013 09:33, schrieb Florian M. Wagner:<br>
</div>
<blockquote cite="mid:5270C465.1000107@student.ethz.ch" type="cite">
<pre wrap="">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:
</pre>
<blockquote type="cite">
<pre wrap="">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:
</pre>
<blockquote type="cite">
<pre wrap="">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@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@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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</blockquote>
</blockquote>
<pre wrap="">
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