On Tue, Jul 5, 2022 at 9:10 PM wrote:
>
> Oh nevermind, I see that this is added as an experimental module in the
> latest numpy version. It would be nice to not have to have another whole set
> of APIs, but on the other hand the numpy API is so messy and inconsistent
> that maybe it is a good
Oh nevermind, I see that this is added as an experimental module in the latest
numpy version. It would be nice to not have to have another whole set of APIs,
but on the other hand the numpy API is so messy and inconsistent that maybe it
is a good thing :) But it does mean now we have at least 9
Yes, if I am doing this more than once in some code I would make a helper. But
it's much better I think to have a common function that people can learn and
use consistently instead of having to roll their own functions all the time.
Especially because numpy otherwise usually just works when you
I'm unaware of the context here, is this a specification for functions that it
is hoped will eventually be made consistent across numpy/tensorflow/etc? If
that's the idea then yeah, I'm all for it, but I would suggest also adding a
keepdim parameter (as I mentioned above it helps with broadcasti
On Tue, 2022-07-05 at 23:36 +, rmccampbe...@gmail.com wrote:
> Maybe I wasn't clear, I'm talking about the 1-dimensional vector
> product, but applied to N-D arrays of vectors. Certainly dot products
> can be realized as matrix products, and often are in mathematics for
> convenience, but matri
It might be just me, that @ product is way more readable than chaining
different operators below that I don't find readable at all but anyways
that's taste I guess. Also if you are going to do this, for a better
performance code, you shouldn't bend the ops but you should wrangle the
array to the co
The vecdot() function in the array API should be what you are looking
for (note that the current implementation in numpy.array_api is
incorrect, which I'm fixing at
https://github.com/numpy/numpy/pull/21928). It works like dot() but it
always applies the 1-D dot product case with broadcasting, and
On Tue, Jul 5, 2022 at 5:49 PM Aaron Meurer wrote:
>
> The vecdot() function in the array API should be what you are looking
> for (note that the current implementation in numpy.array_api is
> incorrect, which I'm fixing at
> https://github.com/numpy/numpy/pull/21928). It works like dot() but it
>
Maybe I wasn't clear, I'm talking about the 1-dimensional vector product, but
applied to N-D arrays of vectors. Certainly dot products can be realized as
matrix products, and often are in mathematics for convenience, but matrices and
vectors are not the same thing, theoretically or coding wise.
