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arogozhnikov committed Jun 4, 2020
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Expand Up @@ -178,7 +178,6 @@ These details are ignored, since *usually* it makes no difference,
but it can make a big difference (e.g. if you use grouped convolutions on the next stage),
and you'd like to specify this in your code.

<!-- TODO add example with 1d elements? -->

### Uniformity

Expand Down Expand Up @@ -226,7 +225,7 @@ repeat(image, 'h w -> h (tile w)', tile=2) # in mxnet
... (etc.)
```

<!-- TODO examples for depth-to-space and pixel shuffle? transpose vs permute? torch.repeat is numpy.tile -->
<!-- TODO examples for depth-to-space and pixel shuffle? transpose vs permute? -->

## Supported frameworks

Expand All @@ -247,16 +246,15 @@ Einops works with ...

Best ways to contribute are

- share your feedback. Experimental APIs currently require third-party testing.
- spread the word about `einops`
- if you like explaining things, alternative tutorials can be helpful
- if you like explaining things, alternative tutorials would be very helpful
- some people grasp `einops` ideas immediately, while many others need help-by-example
- translating examples in languages other than English is also a good idea
- finally, use `einops` notation in your papers to strictly define used operations!
- use `einops` notation in your papers to strictly define used operations!

## Supported python versions

`einops` works with python 3.5 or later.

There is nothing specific to python 3 in the code,
we simply [need to move further](http://github.com/arogozhnikov/python3_with_pleasure)
and the decision is not to support python 2.
we simply [need to move further](http://github.com/arogozhnikov/python3_with_pleasure).

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