[Numpy-discussion] python numpy code many times slower than c++
Tue Jan 20 20:52:41 CST 2009
On Tue, Jan 20, 2009 at 20:44, Neal Becker <firstname.lastname@example.org> wrote:
> Robert Kern wrote:
>> 2009/1/20 Neal Becker <email@example.com>:
>>> I tried a little experiment, implementing some code in numpy (usually I
>>> build modules in c++ to interface to python). Since these operations are
>>> all large vectors, I hoped it would be reasonably efficient.
>>> The code in question is simple. It is a model of an amplifier, modeled
>>> by it's AM/AM and AM/PM characteristics.
>>> The function in question is the __call__ operator. The test program
>>> plots a spectrum, calling this operator 1024 times each time with a
>>> vector of 4096.
>> If you want to find out what lines in that function are taking the
>> most time, you can try my line_profiler module:
>> That might give us a better idea in the absence of a self-contained
> Sounds interesting, I'll give that a try. But, not sure how to use it.
> If my main script is plot_spectrum.py, and I want to profile the
> ampl.__call__ function (defined in ampl.py), what do I need to do? I tried
> running kernprof.py plot_spectrum.py having added @profile decorators in
> ampl.py, but that didn't work:
> File "../mod/ampl.py", line 43, in ampl
> NameError: name 'profile' is not defined
kernprof.py --line-by-line plot_spectrum.py
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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