I am building numpy from source, python setup.py build --fcompiler=gnu95 then installation, python setup.py install --user, on ubuntu 13.04
for analysis results pprof --svg /usr/bin/python py.prof On Mon, Jun 17, 2013 at 10:04 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Mon, Jun 17, 2013 at 4:29 PM, Arink Verma <arinkve...@gmail.com> wrote: > > Hi Nathaniel > > > >> It's a probabilistic sampling profiler, so if it doesn't have enough > >> samples then it can miss things. 227 samples is way way too low. You > need to > >> run the profiled code for longer (a few seconds at least), and if > that's not > >> enough then maybe increase the sampling rate too (though be careful > because > >> setting this too high can also add noise). > > > > > > I ran code '1000000000' times, which record 229115 samples. Callgraph[1] > > generated is converging to PyArray_DESCR, and rest are unconnected. > > > > Does it mean anything? > > [1] > https://docs.google.com/file/d/0B3Pqyp8kuQw0MzRoTTNVbmlaNFE/edit?usp=sharing > > I think it means that pprof is failing to walk to the stack to compute > callers. That's consistent with PyArray_DESCR being the only "call" > that it can find, because PyArray_DESCR isn't a real function, it > always gets inlined, so detecting the caller doesn't require walking > the stack. > > Is your numpy compiled with -fomit-frame-pointer or something like > that? Any other weird build options used while building it? Is your > binary stripped? If you're using a distro version, do you have the > debug symbols installed? Did you compile this numpy yourself? (If not, > the simplest thing to do would be to just build it yourself using the > default settings and see if that helps.) What OS are you on? > > When I run your profiling code (but being lazier and only running > 12000 samples), then do 'google-pprof --pdf /path/to/python > /path/to/my/profile.prof', then I get the graph attached below. > > -n > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > -- Arink Verma www.arinkverma.in
test.py
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