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https://github.com/pydata/xarray/issues/3232#issuecomment-851426576 https://api.github.com/repos/pydata/xarray/issues/3232 851426576 MDEyOklzc3VlQ29tbWVudDg1MTQyNjU3Ng== 14808389 2021-05-31T11:32:05Z 2021-05-31T11:32:05Z MEMBER

I don't, unfortunately (there's the partial example in https://github.com/pydata/xarray/issues/3232#issuecomment-769789746, though).

This is nothing usable right now, but the pytorch maintainers are currently looking into providing support for __array_namespace__ (NEP47). Once there has been sufficient progress in both numpy and pytorch we don't have to change much in xarray (i.e. allowing __array_namespace__ instead of __array_ufunc__ / _array_function__ for duck arrays) to make this work without any wrapper code.

You (or anyone interested) might still want to maintain a "pytorch-xarray" convenience library to allow something like arr.torch.grad(dim="x").

 
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