[Numpy-discussion] python numpy code many times slower than c++
Wed Jan 21 06:27:04 CST 2009
T J wrote:
> On Tue, Jan 20, 2009 at 6:57 PM, Neal Becker <firstname.lastname@example.org> wrote:
>> It seems the big chunks of time are used in data conversion between numpy
>> and my own vectors classes. Mine are wrappers around boost::ublas. The
>> conversion must be falling back on a very inefficient method since there
>> is no special code to handle numpy vectors.
>> Not sure what is the best solution. It would be _great_ if I could make
>> boost::python objects that export a buffer interface, but I have
>> absolutely no idea how to do this (and so far noone else has volunteered
>> any info on this).
> I'm not sure if I've understood everything here, but I think that
> pyublas provides exactly what you need.
It might if I had used this for all of my c++ code, but I have a big library
of c++ wrapped code that doesn't use pyublas. Pyublas takes numpy objects
from python and allows the use of c++ ublas on it (without conversion).
Most of my code doesn't use numpy, it uses plain ublas to represent vectors,
and ublas handles storage. I can only interface to/from numpy with
I'm interested in pyublas, but devel seems very quiet for a while.
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