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  • dcherian · 2 ✖

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  • Please expose __cuda_array_interface__ via the xarray.__array__() function if present · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1199531335 https://github.com/pydata/xarray/issues/6847#issuecomment-1199531335 https://api.github.com/repos/pydata/xarray/issues/6847 IC_kwDOAMm_X85Hf2VH dcherian 2448579 2022-07-29T15:26:19Z 2022-07-29T16:15:53Z MEMBER

cc @jacobtomlinson as requested on Twitter

 
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   Please expose __cuda_array_interface__ via the xarray.__array__() function if present 1322112135
1199524534 https://github.com/pydata/xarray/issues/6847#issuecomment-1199524534 https://api.github.com/repos/pydata/xarray/issues/6847 IC_kwDOAMm_X85Hf0q2 dcherian 2448579 2022-07-29T15:23:26Z 2022-07-29T15:28:23Z MEMBER

Do you have to go through __array__ (see #6845) or would accessing the underlying array using DataArray.data work for you?

We could also add some properties under the DataArray.cupy namespace for convenience (See https://github.com/xarray-contrib/cupy-xarray)

It'd be good to see a minimal example showcasing the operations you'd like to work. This would also make a great contribution to https://cupy-xarray.readthedocs.io/

 
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   Please expose __cuda_array_interface__ via the xarray.__array__() function if present 1322112135

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