[Numpy-discussion] python numpy code many times slower than c++
Tue Jan 20 20:44:23 CST 2009
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
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