html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3232#issuecomment-1190589331,https://api.github.com/repos/pydata/xarray/issues/3232,1190589331,IC_kwDOAMm_X85G9vOT,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","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,482543307
https://github.com/pydata/xarray/issues/3232#issuecomment-606354369,https://api.github.com/repos/pydata/xarray/issues/3232,606354369,MDEyOklzc3VlQ29tbWVudDYwNjM1NDM2OQ==,3019665,2020-03-31T02:07:47Z,2020-03-31T02:07:47Z,NONE,Well here's [a blogpost on using Dask + CuPy]( https://blog.dask.org/2019/03/18/dask-nep18 ). Maybe start there and build up to using Xarray.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,482543307
https://github.com/pydata/xarray/issues/3232#issuecomment-606262540,https://api.github.com/repos/pydata/xarray/issues/3232,606262540,MDEyOklzc3VlQ29tbWVudDYwNjI2MjU0MA==,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.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,482543307