[SciPy-dev] segmentation with scipy+icc during test
Fri Dec 5 12:00:03 CST 2008
I think you are in trouble:
Unfortunately, I don't have a solution out of the box. It would need
some distutils hack to solve the issue. Use 10.0.2 instead.
2008/12/5 Stijn De Weirdt <firstname.lastname@example.org>:
> hi all,
> i hope i can bother the dev list with this, as it's not a real user
> problem imho.
> i'm trying to compile python+numpy+scipy with intel toolkit (ictce
> 188.8.131.52, which has icc/ifc 11.0.069 and mkl 10.1.0.015
> python 2.4.5 compiles and the make tests works fine
> numpy 1.2.1 compiles and the tests are also fine
> scipy 0.6.0 compiles, but one of the tests exits with a segmentation
> fault. (i also tried 0.7.0b1, but it also gives segfualt, but haven't
> verified if it's the same one)
> now i'm trying to figure out which test causes the crash and i have some
> questions related to that:
> a. how can i skip/reorder tests? (just to check if it's an individual
> issue or a broader one)
> b. the segfault itself:
> python -v -c 'import scipy; scipy.test(level=10,verbosity=100)'
> bench_random (scipy.fftpack.tests.test_basic.test_fft)
> Fast Fourier Transform
> | real input | complex input
> size | scipy | numpy | scipy | numpy
> 100 | 0.07 | 0.06Segmentation fault
> looking at the code in scipy/fftpack/tests/test_basic.py, it's the
> complex part of bench_random that fails.
> the basic code that triggers it, is (at least that how i read it)
> x= random([size]).astype(cdouble)+random([size]).astype(cdou\
> y = direct_dft(x) ## size < 500
> with fft loaded from scipy.fftpack (not from numpy)
> (i'm sure it segfaults during the fft(x) call, because i added some
> print statements to locate the exact code).
> when i add some pprint statements to dump the x values that were used
> during the segfault and write a small script doing just the above with
> those values, it doesn't segfault.
> so doing the exact steps (except from the self.measure) in a separate
> script, i'm unable to trigger the segfault, but the tests always fail.
> could someone shine some light on why this seems not reproducable
> outside the test environment?
> many thanks,
> The system will shutdown in 5 minutes.
> Scipy-dev mailing list
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