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 <https://github.com/arogozhnikov/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. Cheers, Stephan
Cheers, Alex.
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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 <https://github.com/arogozhnikov/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
participants (3)
-
Alex Rogozhnikov -
Ralf Gommers -
Stephan Hoyer