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  • jakirkham · 3 ✖

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  • Use pytorch as backend for xarrays · 3 ✖

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  • NONE · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1190589331 https://github.com/pydata/xarray/issues/3232#issuecomment-1190589331 https://api.github.com/repos/pydata/xarray/issues/3232 IC_kwDOAMm_X85G9vOT jakirkham 3019665 2022-07-20T18:01:56Z 2022-07-20T18:01:56Z NONE

While it is true to use PyTorch Tensors directly, one would need the Array API implemented in PyTorch. One could use them indirectly by converting them zero-copy to CuPy arrays, which do have Array API support

 
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   Use pytorch as backend for xarrays 482543307
606354369 https://github.com/pydata/xarray/issues/3232#issuecomment-606354369 https://api.github.com/repos/pydata/xarray/issues/3232 MDEyOklzc3VlQ29tbWVudDYwNjM1NDM2OQ== jakirkham 3019665 2020-03-31T02:07:47Z 2020-03-31T02:07:47Z NONE

Well here's a blogpost on using Dask + CuPy. Maybe start there and build up to using Xarray.

 
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   Use pytorch as backend for xarrays 482543307
606262540 https://github.com/pydata/xarray/issues/3232#issuecomment-606262540 https://api.github.com/repos/pydata/xarray/issues/3232 MDEyOklzc3VlQ29tbWVudDYwNjI2MjU0MA== jakirkham 3019665 2020-03-30T21:31:18Z 2020-03-30T21:31:18Z NONE

Yeah Jacob and I played with this a few months back. There were some issues, but my recollection is pretty hazy. If someone gives this another try, it would be interesting to hear how things go.

 
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   Use pytorch as backend for xarrays 482543307

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