google-deepmind / google-deepmind/torax

More robust handling of input IDS

Open
#2,213 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
721
Forks
145
Avg merge
2d 14h
Merged PRs (30d)
49

Description

Add some safeguards to handle cases when all the time slices are not filled properly, for example when reading experimental data where some profiles can happen to be NaNs. This issue is applicable to all the input IDSs loading.

Contributor guide

Open the contributing guide

Research direction

Start by locating the input IDS loading code and trace how incomplete time slices and NaN profiles from experimental data are handled. Check the behavior across all input IDS loaders; done means safeguards consistently handle unfilled slices without failing.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
45/100

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