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  • hsharrison · 3 ✖

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  • Use pytorch as backend for xarrays · 3 ✖

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  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1190382681 https://github.com/pydata/xarray/issues/3232#issuecomment-1190382681 https://api.github.com/repos/pydata/xarray/issues/3232 IC_kwDOAMm_X85G88xZ hsharrison 4441865 2022-07-20T14:48:15Z 2022-07-20T14:48:15Z CONTRIBUTOR

Makes sense, then I'll wait for https://github.com/pytorch/pytorch/issues/58743 to try it.

 
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   Use pytorch as backend for xarrays 482543307
1190068100 https://github.com/pydata/xarray/issues/3232#issuecomment-1190068100 https://api.github.com/repos/pydata/xarray/issues/3232 IC_kwDOAMm_X85G7v-E hsharrison 4441865 2022-07-20T09:50:59Z 2022-07-20T09:50:59Z CONTRIBUTOR

Nice that it's so simple. I think it can't be tested with pytorch until they compete https://github.com/pytorch/pytorch/issues/58743, right?

Or we should just try passing torch.tensor into xarray directly?

 
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   Use pytorch as backend for xarrays 482543307
1189938517 https://github.com/pydata/xarray/issues/3232#issuecomment-1189938517 https://api.github.com/repos/pydata/xarray/issues/3232 IC_kwDOAMm_X85G7QVV hsharrison 4441865 2022-07-20T07:42:05Z 2022-07-20T07:42:05Z CONTRIBUTOR

Glad to see progress on this!! 👏

Just curious though, seeing this comment in the PR:

Note: I haven't actually tested this with pytorch (which is the motivating example for https://github.com/pydata/xarray/issues/3232).

Are we sure this closes the issue? And, how can we try it out? Even lacking docs, a comment explaining how to set it up would be great, and I can do some testing on my end. I understand that it's an experimental feature.

 
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   Use pytorch as backend for xarrays 482543307

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