[pythran] Re: Numpy Benchmarks

  • From: serge Guelton <sguelton@xxxxxxxxxxxxx>
  • To: pythran@xxxxxxxxxxxxx
  • Date: Thu, 26 Jun 2014 16:02:45 +0200

On Thu, Jun 26, 2014 at 02:33:09PM +0100, Ian Ozsvald wrote:
> Oops, sorry to be slow, I had to submit the manuscript for my book
> (now off for editing - yay!).

Congrats \o/

> I can't share the material for that course, that's a private course
> I'm now running. In this case I used the Julia set example (which I
> built through all the various tools, from Cython through to Numba,
> both lists & numpy), we just built it and ran the demo and a few of
> the students wanted to try pythran on their own code.


> When it comes to interfacing with numpy functions - do you plan to
> have a fall-back mode that uses a default numpy function *outside* of
> pythran, so that all the numpy functions are 'always available' even
> if pythran doesn't provide an optimized version? I suspect you'll say
> that you've got your own GC and so this isn't possible, since I'm not
> very familiar with pythran's internals I might be asking a silly
> question.

There is no fall-back mode, although it would be possible (we are using
a reference counting GC compatible with CPython's one). At least the
compiler should warn you that the given function is NIY :-)

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