[Numpy-discussion] Faster way to generate a rotation matrix?
Chris Colbert
sccolbert@gmail....
Tue Mar 3 23:58:36 CST 2009
since you only need to calculate the sine or cosine of a single value (not
an array of values) I would recommend using the sine and cosine function of
the python standard math library as it is a full order of magnitude faster.
(at least on my core 2 windows vista box)
i.e. import math as m
m.sin
m.cos
etc....
again, this is microoptimization.... a difference of 10^-5s per call vs
10^-6s per call numpy vs math
Chris
On Wed, Mar 4, 2009 at 12:11 AM, <josef.pktd@gmail.com> wrote:
> On Tue, Mar 3, 2009 at 11:41 PM, Jonathan Taylor
> <jonathan.taylor@utoronto.ca> wrote:
> > Thanks, All these things make sense and I should have known to
> > calculate the sins and cosines up front. I managed a few more
> > "tricks" and knocked off 40% of the computation time:
> >
> > def rotation(theta, R = np.zeros((3,3))):
> > cx,cy,cz = np.cos(theta)
> > sx,sy,sz = np.sin(theta)
> > R.flat = (cx*cz - sx*cy*sz, cx*sz + sx*cy*cz, sx*sy,
> > -sx*cz - cx*cy*sz, -sx*sz + cx*cy*cz,
> > cx*sy, sy*sz, -sy*cz, cy)
> > return R
> >
> > Pretty evil looking ;) but still wouldn't mind somehow getting it faster.
>
> One of the usual recommendation on the python list is also to load
> functions into the local scope to avoid the lookup in the module.
>
> e.g. npcos = np.cos
> or I think the usual: `from numpy import cos, sin, zeros` should be
> better for speed
>
> also you still have a few duplicate multiplications, e.g. cx*cz, cx*sz, ..?
> but this looks already like micro optimization.
>
> Josef
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