[Numpy-discussion] Proposed Roadmap Overview

Lluís xscript@gmx....
Mon Feb 20 13:41:38 CST 2012


Lluís  writes:

> Francesc Alted writes:
>> On Feb 20, 2012, at 6:18 PM, Dag Sverre Seljebotn wrote:
>>> You need at least a slightly different Python API to get anywhere, so 
>>> numexpr/Theano is the right place to work on an implementation of this 
>>> idea. Of course it would be nice if numexpr/Theano offered something as 
>>> convenient as
>>> 
>>> with lazy:
>>> arr = A + B + C # with all of these NumPy arrays
>>> # compute upon exiting…

>> Hmm, that would be cute indeed.  Do you have an idea on how the code in the with
>> context could be passed to the Python AST compiler (à la numexpr.evaluate("A + B
>> + C"))?

> Well, I started writing some experiments to "almost transparently" translate
> regular ndarray operations to numexpr strings (or others) using only python
> code.
[...]
> My target was to use this to also generate optimized GPU kernels in-flight using
> pycuda, but I think some other relatively recent project already performed
> something similar (w.r.t. generating cuda kernels out of python expressions).

Aaahhh, I just had a quick look at Theano and it seems it's the project I was
referring to.

Good job! :)


Lluis

-- 
 "And it's much the same thing with knowledge, for whenever you learn
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