Hi Ralf, Thank you so much for your answer.
I finally figured out that the problem was because Numpy 1.9 was not linked to BLAS. I do not know why because I simply installed numpy 1.9 via the commands: apt-get install python3-numpy If anybody has the same problem, you may want to take a look into this: http://osdf.github.io/blog/numpyscipy-with-openblas-for-ubuntu-1204-second-try.html Best Regards, Ecem On Fri, Jul 22, 2016 at 5:19 PM Ecem sogancıoglu <ecemsogancio...@gmail.com> wrote: > Dear Ralf, > > Thank you so much for your answer. > > I finally figured out that the problem was because Numpy 1.9 was not > linked to BLAS. I do not know why because I simply installed numpy 1.9 via > the commands: > > apt-get install python3-numpy > > If anybody has the same problem, you may want to take a look into this: > http://osdf.github.io/blog/numpyscipy-with-openblas-for-ubuntu-1204-second-try.html > > Best Regards, > Ecem > > > > > On Tue, Jul 19, 2016 at 9:44 PM Ralf Gommers <ralf.gomm...@gmail.com> > wrote: > >> On Tue, Jul 19, 2016 at 3:53 PM, Ecem sogancıoglu < >> ecemsogancio...@gmail.com> wrote: >> >>> Hello All, >>> >>> there seems to be a performance issue with the covariance function in >>> numpy 1.9 and later. >>> >>> Code example: >>> *np.cov(np.random.randn(700,37000))* >>> >>> In numpy 1.8, this line of code requires 4.5755 seconds. >>> In numpy 1.9 and later, the same line of code requires more than 30.3709 >>> s execution time. >>> >> >> Hi Ecem, can you make sure to use the exact same random array as input to >> np.cov when testing this? Also timing just the function call you're >> interested in would be good; the creating of your 2-D array takes longer >> than the np.cov call: >> >> In [5]: np.random.seed(1234) >> >> In [6]: x = np.random.randn(700,37000) >> >> In [7]: %timeit np.cov(x) >> 1 loops, best of 3: 572 ms per loop >> >> In [8]: %timeit np.random.randn(700, 37000) >> 1 loops, best of 3: 1.26 s per loop >> >> >> Cheers, >> Ralf >> >> >> >>> Has anyone else observed this problem and is there a known bugfix? >>> >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@scipy.org >>> https://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >>> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> >
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