Sounds like the equivalent of numpy newaxis?
Tim Holy wrote:
> I'm not saying it's there now, just that it's an almost-trivial addition.
> Perhaps the type would look something like
>
> View{T,N,P,(UnitRange{Int64}, :Broadcast, UnitRange{Int64})}
>
> to make a 3d broadcasting array out of a 2d object, with broadcasting on the
> middle axis.
>
> --Tim
>
> On Tuesday, August 26, 2014 09:56:22 AM Neal Becker wrote:
>> I guess I'm not quite clear on whether ArrayViews, or ArrayViewsAPL would
>> support synthetic broadcasting. IIUC, what's needed is to introduce a new
>> dimension, with stride set to 0.
>>
>> Tim Holy wrote:
>> > That's kind of an "inverse slice." Neat.
>> >
>> > This should be easy to do with
>> > https://github.com/timholy/ArrayViewsAPL.jl,
>> > and much easier to use than having to think about strides explicitly. We
>> > just need to finish stagedfunctions.
>> >
>> > --Tim
>> >
>> > On Tuesday, August 26, 2014 08:45:38 AM Neal Becker wrote:
>> >> I was thinking particularly of the case of a function that does not
>> >> broadcast it's arguments. stride tricks could be used to cause
>> >> broadcasting (maybe not that efficiently).
>> >>
>> >> http://stackoverflow.com/questions/25486506/julia-broadcasting-equivalent
>> >> -of -numpy-newaxis?noredirect=1#comment39778672_25486506
>> >>
>> >> Tobias Knopp wrote:
>> >> > The ArrayView package will give similar though not equivalent
>> >> > possibilities. See also https://github.com/JuliaLang/julia/pull/5556
>> >> > and https://github.com/JuliaLang/julia/issues/5932
>> >> > I think there is also a transpose type that would allow to reverse
>> >> > strides.
>> >> >
>> >> > Cheers,
>> >> >
>> >> > Tobi
>> >> >
>> >> > Am Dienstag, 26. August 2014 14:26:46 UTC+2 schrieb Neal Becker:
>> >> >> In numpy, array contents can be re-interpreted without copying. The
>> >> >> indexing of
>> >> >> an array is defined by it's strides, and by altering the strides we
>> >> >> can
>> >> >> get
>> >> >> different views.
>> >> >>
>> >> >>
>> >> >> http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/ma
>> >> >> ste
>> >> >> r/notebooks/chapter04_optimization/06_stride_tricks.ipynb
>> >> >>
>> >> >> Does julia have a similar facility?
>> >> >>
>> >> >> --
>> >> >> -- Those who don't understand recursion are doomed to repeat it
--
-- Those who don't understand recursion are doomed to repeat it
