issue_comments: 656372249
This data as json
| 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-656372249 | https://api.github.com/repos/pydata/xarray/issues/3232 | 656372249 | MDEyOklzc3VlQ29tbWVudDY1NjM3MjI0OQ== | 923438 | 2020-07-09T22:01:25Z | 2020-07-09T22:02:30Z | NONE |
Do you have a sense of the overhead / effort of making jax vs cupy as the gpu backend for xarrays ? One advantage of jax would be built in auto-diff functionality that would enable xarray to be plugged directly into deep learning pipelines. Downside is that it is not as numpy compatible as cupy. How much of a non-starter would this be ? |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
482543307 |