[Numpy-discussion] python numpy code many times slower than c++
Tue Jan 20 20:22:52 CST 2009
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 example.
"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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