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- Use pytorch as backend for xarrays · 7 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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769656592 | https://github.com/pydata/xarray/issues/3232#issuecomment-769656592 | https://api.github.com/repos/pydata/xarray/issues/3232 | MDEyOklzc3VlQ29tbWVudDc2OTY1NjU5Mg== | rgommers 98330 | 2021-01-29T08:26:23Z | 2021-01-29T08:26:23Z | NONE |
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Use pytorch as backend for xarrays 482543307 | |
766669784 | https://github.com/pydata/xarray/issues/3232#issuecomment-766669784 | https://api.github.com/repos/pydata/xarray/issues/3232 | MDEyOklzc3VlQ29tbWVudDc2NjY2OTc4NA== | rgommers 98330 | 2021-01-25T09:12:51Z | 2021-01-25T09:12:51Z | NONE |
No, adding it should be perfectly fine. The dispatch mechanism itself isn't going anywhere, it's part of numpy and it works. Whether or not |
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Use pytorch as backend for xarrays 482543307 | |
765906982 | https://github.com/pydata/xarray/issues/3232#issuecomment-765906982 | https://api.github.com/repos/pydata/xarray/issues/3232 | MDEyOklzc3VlQ29tbWVudDc2NTkwNjk4Mg== | rgommers 98330 | 2021-01-23T11:12:59Z | 2021-01-23T11:12:59Z | NONE | Note that your the main work in adding |
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Use pytorch as backend for xarrays 482543307 | |
765905229 | https://github.com/pydata/xarray/issues/3232#issuecomment-765905229 | https://api.github.com/repos/pydata/xarray/issues/3232 | MDEyOklzc3VlQ29tbWVudDc2NTkwNTIyOQ== | rgommers 98330 | 2021-01-23T10:57:48Z | 2021-01-23T11:09:52Z | NONE |
If you use PyTorch 1.7.1 or later, then Tensor subclasses are much better preserved through pytorch functions and operations like slicing. So a custom subclass, adding the attributes and methods Xarray requires for a duck array should be feasible.
Looks like you need to patch that internally just a bit, probably adding pytorch to Note that I do not expect anymore that we'll be adding |
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Use pytorch as backend for xarrays 482543307 | |
523101805 | https://github.com/pydata/xarray/issues/3232#issuecomment-523101805 | https://api.github.com/repos/pydata/xarray/issues/3232 | MDEyOklzc3VlQ29tbWVudDUyMzEwMTgwNQ== | rgommers 98330 | 2019-08-20T16:53:40Z | 2019-08-20T16:53:40Z | NONE |
We didn't discuss an alternative very explicitly I think, but at least we'll have wide adoption fast. Hopefully the pain is limited .... |
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Use pytorch as backend for xarrays 482543307 | |
522824647 | https://github.com/pydata/xarray/issues/3232#issuecomment-522824647 | https://api.github.com/repos/pydata/xarray/issues/3232 | MDEyOklzc3VlQ29tbWVudDUyMjgyNDY0Nw== | rgommers 98330 | 2019-08-20T02:18:59Z | 2019-08-20T02:18:59Z | NONE |
Less familiar with that, but pytorch does have experimental XLA support, so that's a start. |
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Use pytorch as backend for xarrays 482543307 | |
522824210 | https://github.com/pydata/xarray/issues/3232#issuecomment-522824210 | https://api.github.com/repos/pydata/xarray/issues/3232 | MDEyOklzc3VlQ29tbWVudDUyMjgyNDIxMA== | rgommers 98330 | 2019-08-20T02:16:32Z | 2019-08-20T02:16:32Z | NONE |
The PyTorch team is definitely receptive to the idea of adding Also, they want a The tracking issue for all of this is https://github.com/pytorch/pytorch/issues/22402
Agreed. No one is working on |
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Use pytorch as backend for xarrays 482543307 |
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