[Numpy-discussion] guvectorize, a helper for writing generalized ufuncs

[Stephan Hoyer]

I have put a pull request implementing numpy.guvectorize up for review:
https://github.com/numpy/numpy/pull/8054

Cheers,
Stephan

On Tue, Sep 13, 2016 at 10:54 PM, Travis Oliphant <travis at continuum.io>
wrote:

> There has been some discussion on the Numba mailing list as well about a
> version of guvectorize that doesn't compile for testing and flexibility.
>
> Having this be inside NumPy itself seems ideal.
>
> -Travis
>
>
> On Tue, Sep 13, 2016 at 12:59 PM, Stephan Hoyer <shoyer at gmail.com> wrote:
>
>> On Tue, Sep 13, 2016 at 10:39 AM, Nathan Goldbaum <nathan12343 at gmail.com>
>> wrote:
>>
>>> I'm curious whether you have a plan to deal with the python functional
>>> call overhead. Numba gets around this by JIT-compiling python functions -
>>> is there something analogous you can do in NumPy or will this always be
>>> limited by the overhead of repeatedly calling a Python implementation of
>>> the "core" operation?
>>>
>>
>> I don't think there is any way to avoid this in NumPy proper, but that's
>> OK (it's similar to the existing overhead of vectorize).
>>
>> Numba already has guvectorize (and it's own version of vectorize as
>> well), which already does exactly this.
>>
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>>
>
>
> --
>
> *Travis Oliphant, PhD*
> *Co-founder and CEO*
>
>
> @teoliphant
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