[SciPy-user] Speed differences in sqrt calculation: what is good to know
Matthieu Brucher
matthieu.brucher@gmail....
Wed Jun 11 13:54:48 CDT 2008
Hi,
Don't forget that numpy's sqrt and scipy's sqrt are not optimized towards
single computations.
If you really want to compare them, time the square root of 10000 elements.
Matthieu
2008/6/11 Ivo Maljevic <ivo.maljevic@gmail.com>:
> Based on comments from Gael Varoquaux and David Cournapeau , I did the
> execution time test.
> At least for me, it is clear that if the number is a real scalar, AND the
> expected result is also real,
> the best way is to call the math version of sqrt() function. The
> differences are more than significant, as you can see:
>
> In [3]: from math import sqrt as msqrt
> In [4]: from numpy import sqrt as nsqrt
> In [5]: from scipy import sqrt as ssqrt
>
> In [6]: %timeit msqrt(3.14)
> 1000000 loops, best of 3: 479 ns per loop
>
> In [7]: %timeit nsqrt(3.14)
> 100000 loops, best of 3: 10.8 µs per loop
>
> In [8]: %timeit ssqrt(3.14)
> 10000 loops, best of 3: 74.5 µs per loop
>
>
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>
--
French PhD student
Website : http://matthieu-brucher.developpez.com/
Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92
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