Thanks for the feedback!

Created PR for adding both einops and opt_einsum:
https://github.com/numpy/numpy/pull/17432
 
 
27.09.2020, 12:30, "Ralf Gommers" <ralf.gommers@gmail.com>:
 
 
On Sun, Sep 27, 2020 at 7:09 AM Stephan Hoyer <shoyer@gmail.com> wrote:
On Sat, Sep 26, 2020 at 10:53 PM Alex Rogozhnikov <alex.rogozhnikov@yandex.ru> wrote:
Hello all,
 
I'm developer of einops - python package for readable and reliable tensor operations.
Einops handles different types of tensors (including numpy, pytorch, jax, tensorflow and others) and targeted as a verbose replacement to existing numpy operations.
 
As einops now is quite mature project, I suggest linking einops from np.einsum function
(which was an initial point to appearance of this new interface, and many einops users previously used einsum)  
 
Not sure about precise implementation - link in 'see also' works.
Alternatively, I can suggest a single-line description like:
Operations with similar verbose interface are provided by einops package to cover additional operations: transpose, reshape/flatten, repeat/tile, squeeze/unsqueeze and reductions.
 
Glad to hear opinions/recommendations.
 
Hi Alex,
 
I think this would be a nice idea! Putting a note like this in the "See also" section seems appropriate to me.
 
I would also suggest adding a reference to opt-einsum, which provides more flexible optimization routines for np.einsum.
 
+1 from me both for einops and opt-einsum in the See Also section of einsum. Thank Alex, einops is really nice!
 
Cheers,
Ralf
 
,

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