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  • jacobtomlinson · 2 ✖

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  • Use pytorch as backend for xarrays · 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
656627686 https://github.com/pydata/xarray/issues/3232#issuecomment-656627686 https://api.github.com/repos/pydata/xarray/issues/3232 MDEyOklzc3VlQ29tbWVudDY1NjYyNzY4Ng== jacobtomlinson 1610850 2020-07-10T11:30:36Z 2020-07-10T11:30:36Z CONTRIBUTOR

@fjanoos I'm afraid I don't. In RAPIDS we support cupy as our GPU array implementation. So this request has come from the desire to make xarray compatible with the RAPIDS suite of tools.

We commonly see folks using cupy to switch straight over to a tool like pytorch using DLPack. https://docs-cupy.chainer.org/en/stable/reference/interoperability.html#dlpack

But I don't really see #4212 as an effort to make cupy the GPU backend for xarray. I see it as adding support for another backend to xarray. The more the merrier!

 
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   Use pytorch as backend for xarrays 482543307
656178897 https://github.com/pydata/xarray/issues/3232#issuecomment-656178897 https://api.github.com/repos/pydata/xarray/issues/3232 MDEyOklzc3VlQ29tbWVudDY1NjE3ODg5Nw== jacobtomlinson 1610850 2020-07-09T14:58:40Z 2020-07-09T14:58:40Z CONTRIBUTOR

@andersy005 I'm about to start working actively on cupy support in xarray. Would be great to get some of your input.

Cupy requests that instead of calling __array__ you instead call their .get method for explicit conversion to numpy. So we need to add a little compatibility code for this.

 
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   Use pytorch as backend for xarrays 482543307

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