[Numpy-discussion] Profiling (was GSoC : Performance parity between numpy arrays and Python scalars)

Arink Verma arinkverma at gmail.com
Mon Jun 17 17:06:22 EDT 2013

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 <njs at pobox.com> wrote:

> On Mon, Jun 17, 2013 at 4:29 PM, Arink Verma <arinkverma at 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
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Arink Verma
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