Ian Henriksen schrieb am 09.08.2014 um 00:15: > On Fri, Aug 8, 2014 at 3:09 PM, Ian Henriksen wrote: >> On Fri, Aug 8, 2014 at 12:02 PM, Julian Taylor wrote: >> Stefan, thanks for the direction. I think I know how to proceed now. It'll >> probably take me some time to learn how to do all this, but I'll start >> reading/working on it now. >> >> Julian, from a dependency standpoint I'd really prefer to use numpy. As >> near as I can tell, the people most likely to use this feature already use >> numpy. That would also remove the C++ dependency for this. I think the main >> reason for using eigen is that it will be easy to interface with and will >> eliminate temporaries automatically. In the long term, it could be good to >> offer multiple backends for these sorts of operations. Numpy would be a >> primary candidate for something like that. I'll spend some time working >> with numpy's ufunc api to see if I can figure out a good way to use that >> instead. > > Maybe I should clarify a little about why eigen is a good place to start. > According to http://eigen.tuxfamily.org/dox/TopicLazyEvaluation.html it > already takes care of things like the elimination of temporary variables > and common subexpression reduction at compile time. This should make it > possible to compile array expressions in Cython without having to > re-implement those sorts of optimizations. Ideally we would just have to > map memory view operations to corresponding equivalents from eigen. It's > not yet clear to me how to do things with arbitrary-dimensional arrays or > broadcasting, but, given some more time, a solution may present itself.
Did anything come out of this yet? Stefan _______________________________________________ cython-devel mailing list cython-devel@python.org https://mail.python.org/mailman/listinfo/cython-devel
