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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1772050173 | PR_kwDOAMm_X85Tx5fD | 7938 | fixing rolling_window issue with cupy | negin513 17344536 | closed | 0 | 4 | 2023-06-23T19:57:19Z | 2023-06-23T21:07:45Z | 2023-06-23T21:07:42Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/7938 |
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xarray 13221727 | pull | |||||
| 1738835134 | I_kwDOAMm_X85npIS- | 7890 | `xarray.rolling_window` Converts `dims` Argument from Tuple to List Causing Issues for Cupy-Xarray | negin513 17344536 | closed | 0 | 6 | 2023-06-02T21:16:01Z | 2023-06-23T21:07:44Z | 2023-06-23T21:07:44Z | CONTRIBUTOR | What is your issue?Hello,
I'm currently working on the development of cupy_xarray, and I've come across an issue with While numpy.normalize_axis_tuple can handle lists, thereby not raising errors when using numpy-backed xarray objects, its cupy equivalent (cupy.core.internal._normalize_axis_indices) does not. When a list is passed, it raises the following error:
It seems the line that might fix this is L2487: https://github.com/pydata/xarray/blob/c9d89e2b51b6dfee34e371a9232024ec45cd2d9c/xarray/core/variable.py#L2487-L2494 For the time being, we've managed to devise a workaround in cupy, but I thought it would be worthwhile to bring this to your attention. Relevant Cupy PR: https://github.com/cupy/cupy/pull/7575 Contributor: @dcherian |
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completed | xarray 13221727 | issue |
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